Triple
T11802445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puebla metropolitan area |
E280659
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Apizaco
Apizaco is a city in the Mexican state of Tlaxcala known as an important regional commercial and transportation hub.
|
E947214
|
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: Apizaco | Statement: [Puebla metropolitan area, hasCity, Apizaco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apizaco Context triple: [Puebla metropolitan area, hasCity, Apizaco]
-
A.
Tetela
Tetela is a Bantu language spoken primarily by the Tetela people of central Democratic Republic of the Congo.
-
B.
Jalapa
Jalapa is the capital city of the Mexican state of Veracruz, known for its cool, misty climate, cultural institutions, and surrounding coffee-growing region.
-
C.
Tecuala
Tecuala is a municipality and town in the Mexican state of Nayarit, known for its agricultural activities and proximity to coastal wetlands along the Pacific.
-
D.
Tlaxpana
Tlaxpana is a neighborhood in Mexico City known for its central location within the Miguel Hidalgo borough and its mix of residential, commercial, and historical urban character.
-
E.
Tejutla
Tejutla is a municipality located in the highland region of western Guatemala, known for its rural communities and traditional agricultural activities.
- 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: Apizaco Triple: [Puebla metropolitan area, hasCity, Apizaco]
Generated description
Apizaco is a city in the Mexican state of Tlaxcala known as an important regional commercial and transportation hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Apizaco Target entity description: Apizaco is a city in the Mexican state of Tlaxcala known as an important regional commercial and transportation hub.
-
A.
Tetela
Tetela is a Bantu language spoken primarily by the Tetela people of central Democratic Republic of the Congo.
-
B.
Jalapa
Jalapa is the capital city of the Mexican state of Veracruz, known for its cool, misty climate, cultural institutions, and surrounding coffee-growing region.
-
C.
Tecuala
Tecuala is a municipality and town in the Mexican state of Nayarit, known for its agricultural activities and proximity to coastal wetlands along the Pacific.
-
D.
Tlaxpana
Tlaxpana is a neighborhood in Mexico City known for its central location within the Miguel Hidalgo borough and its mix of residential, commercial, and historical urban character.
-
E.
Tejutla
Tejutla is a municipality located in the highland region of western Guatemala, known for its rural communities and traditional agricultural activities.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a5a2048190b68027f622366079 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1314300248190847b9c61bbfda121 |
completed | April 28, 2026, 10:14 p.m. |
| NEDg | Description generation | batch_69f141b1c50c819081a8055d951a49de |
completed | April 28, 2026, 11:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f14fcb63208190ad1185ad66314fa9 |
completed | April 29, 2026, 12:24 a.m. |
Created at: April 8, 2026, 9:42 p.m.