Triple
T18202925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guerrero region |
E435834
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Montaña region of Guerrero
The Montaña region of Guerrero is a predominantly rural, mountainous area in eastern Guerrero, Mexico, known for its Indigenous communities, traditional cultures, and high levels of marginalization.
|
E1312672
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Montaña region of Guerrero | Statement: [Guerrero region, contains, Montaña region of Guerrero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montaña region of Guerrero Context triple: [Guerrero region, contains, Montaña region of Guerrero]
-
A.
Sierra Norte region of Puebla
The Sierra Norte region of Puebla is a mountainous, culturally diverse area in northern Puebla, Mexico, known for its cloud forests, coffee production, and indigenous Nahua and Totonac communities.
-
B.
Las Altas Montañas region of Veracruz
The Las Altas Montañas region of Veracruz is a mountainous highland area in central Veracruz, Mexico, known for its cool climate, coffee-growing communities, and towns such as Orizaba nestled among its peaks.
-
C.
Sierra Madre de Oaxaca region
The Sierra Madre de Oaxaca region is a mountainous area in southern Mexico known for its rugged terrain, rich biodiversity, and numerous indigenous communities.
-
D.
Guerrero region
The Guerrero region is a coastal and mountainous area in southwestern Mexico, historically significant as part of the Aztec Empire’s expansion under rulers like Ahuitzotl and today known for its diverse indigenous cultures and major tourist destinations such as Acapulco.
-
E.
Sierra Papanteca region
The Sierra Papanteca region is a mountainous area in northern Veracruz, Mexico, known for its rugged terrain, rich biodiversity, and indigenous Totonac communities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Montaña region of Guerrero Triple: [Guerrero region, contains, Montaña region of Guerrero]
Generated description
The Montaña region of Guerrero is a predominantly rural, mountainous area in eastern Guerrero, Mexico, known for its Indigenous communities, traditional cultures, and high levels of marginalization.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montaña region of Guerrero Target entity description: The Montaña region of Guerrero is a predominantly rural, mountainous area in eastern Guerrero, Mexico, known for its Indigenous communities, traditional cultures, and high levels of marginalization.
-
A.
Sierra Norte region of Puebla
The Sierra Norte region of Puebla is a mountainous, culturally diverse area in northern Puebla, Mexico, known for its cloud forests, coffee production, and indigenous Nahua and Totonac communities.
-
B.
Las Altas Montañas region of Veracruz
The Las Altas Montañas region of Veracruz is a mountainous highland area in central Veracruz, Mexico, known for its cool climate, coffee-growing communities, and towns such as Orizaba nestled among its peaks.
-
C.
Sierra Madre de Oaxaca region
The Sierra Madre de Oaxaca region is a mountainous area in southern Mexico known for its rugged terrain, rich biodiversity, and numerous indigenous communities.
-
D.
Guerrero region
The Guerrero region is a coastal and mountainous area in southwestern Mexico, historically significant as part of the Aztec Empire’s expansion under rulers like Ahuitzotl and today known for its diverse indigenous cultures and major tourist destinations such as Acapulco.
-
E.
Sierra Papanteca region
The Sierra Papanteca region is a mountainous area in northern Veracruz, Mexico, known for its rugged terrain, rich biodiversity, and indigenous Totonac communities.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e220dca48190b54dabbd3c7c99b7 |
completed | April 19, 2026, 2:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a039f0c08588190b9e78e29a086e0da |
completed | May 12, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a039fcd9548819088b6f89a24e5f14e |
completed | May 12, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03a14b22208190b4f18bff55367dc9 |
completed | May 12, 2026, 9:53 p.m. |
Created at: April 10, 2026, 10:32 a.m.