Triple
T13505145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tepiman |
E320996
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object | Northern Tepehuán |
E94508
|
NE FINISHED |
How this triple was built (2 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: Northern Tepehuán | Statement: [Tepiman, hasMemberLanguage, Northern Tepehuán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Northern Tepehuán Context triple: [Tepiman, hasMemberLanguage, Northern Tepehuán]
-
A.
Tepehuan
chosen
The Tepehuan are an Indigenous people of northern Mexico, known for their distinct Uto-Aztecan language, traditional agriculture, and communities in the Sierra Madre Occidental.
-
B.
Tataltepec de Valdés
Tataltepec de Valdés is a town and municipality in Oaxaca, Mexico, known as one of the traditional population centers of the Chatino people.
-
C.
Mesa del Norte
Mesa del Norte is a high, arid plateau region in northern Mexico that forms part of the country’s broader Mexican Plateau.
-
D.
Apalta Valley
Apalta Valley is a renowned wine-growing area in central Chile’s Colchagua region, celebrated for its premium red wines, especially Carmenère and Syrah.
-
E.
Tehuacán
Tehuacán is a major city in southeastern Mexico known historically for its mineral springs, agricultural production, and role as a regional commercial center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf810e248190a060481004503f96 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7548bc188819090773db66b0103a1 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:43 p.m.