Triple
T10043603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xalisco |
E205355
|
entity |
| Predicate | hasMunicipalSeat |
P1474
|
FINISHED |
| Object | Xalisco |
E205355
|
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: Xalisco | Statement: [Xalisco, hasMunicipalSeat, Xalisco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xalisco Context triple: [Xalisco, hasMunicipalSeat, Xalisco]
-
A.
Xalisco
chosen
Xalisco is a municipality and town in the Mexican state of Nayarit, known for its agricultural activity and proximity to the state capital, Tepic.
-
B.
Nayarit
Nayarit is a small Pacific-coast state in western Mexico known for its beaches, coastal resorts, and diverse mountainous and tropical landscapes.
-
C.
Cuautla
Cuautla is a historic city in the Mexican state of Morelos, known for its key role in the Mexican War of Independence and later revolutionary movements.
-
D.
Cuautla
Cuautla is a small municipality in the western Mexican state of Jalisco, situated within the Sierra de Amula region.
-
E.
Bajío
Bajío is a fertile, economically important region in central-western Mexico known for its agriculture, industry, and colonial cities.
- 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_69d3697d5b008190b274a086172c7a7d |
completed | April 6, 2026, 8:06 a.m. |
Created at: March 30, 2026, 8:55 p.m.