Triple
T10043602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xalisco |
E205355
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Nayarit |
E28956
|
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: Nayarit | Statement: [Xalisco, partOf, Nayarit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nayarit Context triple: [Xalisco, partOf, Nayarit]
-
A.
Nayarit
chosen
Nayarit is a small Pacific-coast state in western Mexico known for its beaches, coastal resorts, and diverse mountainous and tropical landscapes.
-
B.
Jalisco
Jalisco is a western Mexican state known for its cultural influence, including mariachi music, tequila production, and the major city of Guadalajara.
-
C.
Michoacán
Michoacán is a state in western Mexico known for its diverse geography, rich indigenous and colonial heritage, and significant cultural traditions such as Day of the Dead celebrations.
-
D.
Xalisco
Xalisco is a municipality and town in the Mexican state of Nayarit, known for its agricultural activity and proximity to the state capital, Tepic.
-
E.
Mexico State
Mexico State is a federal entity in central Mexico that surrounds most of Mexico City and is one of the country’s most populous and industrially important states.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf61b3e08190b69bcf67b6a95342 |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d354d7202c81908d42107c346900dc |
completed | April 6, 2026, 6:38 a.m. |
Created at: March 30, 2026, 8:55 p.m.