Triple
T37040478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Pedro Pochutla |
E916765
|
entity |
| Predicate | demographicsIndigenousLanguages |
P109900
|
FINISHED |
| Object | Zapotec |
—
|
NE NERFINISHED |
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: Zapotec | Statement: [San Pedro Pochutla, demographicsIndigenousLanguages, Zapotec]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demographicsIndigenousLanguages Context triple: [San Pedro Pochutla, demographicsIndigenousLanguages, Zapotec]
-
A.
mainIndigenousLanguage
Indicates the primary indigenous language predominantly used or spoken by a person, group, or within a specific context.
-
B.
hasIndigenousLanguageSpoken
chosen
Indicates that an entity is associated with an indigenous language that is or was spoken by it or within its context.
-
C.
isOneOfMostSpokenIndigenousLanguagesIn
Indicates that a language ranks among the most widely spoken indigenous languages within a specified region or country.
-
D.
demographicsSignificantLanguage
Indicates that a particular language is significantly represented or prevalent within the demographic profile of a population or group.
-
E.
ethnologueScope
Indicates the classification scope or coverage category assigned to a language or variety within the Ethnologue system.
- F. None of above.
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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.