Triple
T2263293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Durango |
E50086
|
entity |
| Predicate | demonym |
P191
|
FINISHED |
| Object | Duranguense |
E96529
|
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: Duranguense | Statement: [State of Durango, demonym, Duranguense]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duranguense Context triple: [State of Durango, demonym, Duranguense]
-
A.
Duranguense
chosen
Duranguense refers to a person from the Mexican state of Durango, or to things associated with that region and its culture.
-
B.
Chiac
Chiac is a distinctive mixed French-English dialect spoken primarily by Acadian communities in southeastern New Brunswick, Canada.
-
C.
Cajiqueño
Cajiqueño is the Spanish demonym for a person from the Colombian municipality of Cajicá.
-
D.
Mazahua
Mazahua is an indigenous Oto-Manguean language spoken by the Mazahua people of central Mexico, particularly in the State of Mexico and surrounding areas.
-
E.
Choachí
Choachí is a mountainous municipality in the Cundinamarca Department of Colombia, known for its cool climate, natural landscapes, and proximity to Bogotá.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc18d7fc08190851765683d1b8092 |
completed | March 7, 2026, 6:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71cfd3b08190988474aa0fa985fe |
completed | March 9, 2026, 7:08 a.m. |
Created at: March 4, 2026, 7:48 p.m.