Triple
T29564598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wirikuta pilgrimage route |
E753129
|
entity |
| Predicate | languageOfAssociatedCommunity |
P5562
|
FINISHED |
| Object | Wixárika language |
—
|
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: Wixárika language | Statement: [Wirikuta pilgrimage route, languageOfAssociatedCommunity, Wixárika language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfAssociatedCommunity Context triple: [Wirikuta pilgrimage route, languageOfAssociatedCommunity, Wixárika language]
-
A.
hasLanguageCommunity
chosen
Indicates that an entity is associated with or serves a particular language community.
-
B.
formerLanguageCommunity
Indicates that a group or community previously used a particular language but no longer does so.
-
C.
majorityLanguageOf
Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
-
D.
languageOfUnion
Indicates that a specified language is officially used or recognized as a language of a particular union or union-level entity.
-
E.
ethnicGroupLanguageOf
Indicates that a particular language is spoken by, associated with, or characteristic of a given ethnic group.
- 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_69f0ef7fcb4881908a933110adb9bda1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69fea1f5d8c481908dc3351dc9ecef7f |
completed | May 9, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69fea06b6fe0819095bf4c1bc9809927 |
completed | May 9, 2026, 2:48 a.m. |
Created at: April 28, 2026, 5:50 p.m.