Triple
T17738018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jojutla Municipality |
E442774
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Tequesquitengo
Tequesquitengo is a popular lakeside town in the Mexican state of Morelos, known for its water sports, weekend tourism, and scenic Lake Tequesquitengo.
|
E1322984
|
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: Tequesquitengo | Statement: [Jojutla Municipality, contains, Tequesquitengo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tequesquitengo Context triple: [Jojutla Municipality, contains, Tequesquitengo]
-
A.
Guamúchil
Guamúchil is a city in the Mexican state of Sinaloa known as a regional commercial and agricultural center.
-
B.
Jalapa
Jalapa is a principal city in northern Nicaragua’s Nueva Segovia Department, known as a regional center for agriculture and commerce.
-
C.
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.
-
D.
Tototlán
Tototlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural economy and traditional regional culture.
-
E.
Tututepec
Tututepec was a prominent pre-Columbian Mixtec city-state and political center located on the Pacific coast of present-day Oaxaca, Mexico.
- 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: Tequesquitengo Triple: [Jojutla Municipality, contains, Tequesquitengo]
Generated description
Tequesquitengo is a popular lakeside town in the Mexican state of Morelos, known for its water sports, weekend tourism, and scenic Lake Tequesquitengo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tequesquitengo Target entity description: Tequesquitengo is a popular lakeside town in the Mexican state of Morelos, known for its water sports, weekend tourism, and scenic Lake Tequesquitengo.
-
A.
Guamúchil
Guamúchil is a city in the Mexican state of Sinaloa known as a regional commercial and agricultural center.
-
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.
Jalapa
Jalapa is a principal city in northern Nicaragua’s Nueva Segovia Department, known as a regional center for agriculture and commerce.
-
D.
Tototlán
Tototlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural economy and traditional regional culture.
-
E.
Tututepec
Tututepec was a prominent pre-Columbian Mixtec city-state and political center located on the Pacific coast of present-day Oaxaca, Mexico.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47aca27448190943c75e723ceefcc |
completed | April 19, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03e2274acc8190a868a760d9613152 |
completed | May 13, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_6a03e499e76c819095ace6a58a6a72aa |
completed | May 13, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03e5558b688190bc439d07f915dee2 |
completed | May 13, 2026, 2:43 a.m. |
Created at: April 10, 2026, 10:09 a.m.