Triple
T15819746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tecpatlán Totonac |
E383573
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object |
Tecpatlán
Tecpatlán is a town in Mexico associated with the Totonac people and their indigenous Tecpatlán Totonac language.
|
E1188415
|
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: Tecpatlán | Statement: [Tecpatlán Totonac, spokenIn, Tecpatlán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tecpatlán Context triple: [Tecpatlán Totonac, spokenIn, Tecpatlán]
-
A.
Teuchitlán
Teuchitlán is a town in the state of Jalisco, Mexico, best known for its nearby pre-Hispanic circular pyramid complex known as the Guachimontones archaeological site.
-
B.
Zapotitlán
Zapotitlán is a metro station in Mexico City that serves passengers on Line 12 of the city’s rapid transit system.
-
C.
Tultitlán
Tultitlán is a municipality in the State of Mexico within the Greater Mexico City metropolitan area, known for its dense urban development and industrial activity.
-
D.
Poncitlán
Poncitlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural activity and proximity to Lake Chapala.
-
E.
Tezoyuca
Tezoyuca is a municipality in the State of Mexico, known for its location in the central Mexican plateau and its blend of rural traditions with growing urban development.
- 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: Tecpatlán Triple: [Tecpatlán Totonac, spokenIn, Tecpatlán]
Generated description
Tecpatlán is a town in Mexico associated with the Totonac people and their indigenous Tecpatlán Totonac language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tecpatlán Target entity description: Tecpatlán is a town in Mexico associated with the Totonac people and their indigenous Tecpatlán Totonac language.
-
A.
Teuchitlán
Teuchitlán is a town in the state of Jalisco, Mexico, best known for its nearby pre-Hispanic circular pyramid complex known as the Guachimontones archaeological site.
-
B.
Zapotitlán
Zapotitlán is a metro station in Mexico City that serves passengers on Line 12 of the city’s rapid transit system.
-
C.
Tultitlán
Tultitlán is a municipality in the State of Mexico within the Greater Mexico City metropolitan area, known for its dense urban development and industrial activity.
-
D.
Poncitlán
Poncitlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural activity and proximity to Lake Chapala.
-
E.
Tezoyuca
Tezoyuca is a municipality in the State of Mexico, known for its location in the central Mexican plateau and its blend of rural traditions with growing urban development.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a6e6748190acb0791bd465587f |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3b717c88190b974a44470136ff2 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc5444c1c8190854de5575b9ec1c5 |
completed | May 9, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc5b95290819098b28c44c22b2799 |
completed | May 9, 2026, 11:39 p.m. |
Created at: April 10, 2026, 4:49 a.m.