Triple
T11800073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estado Libre y Soberano de Morelos |
E280600
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Zacatepec |
E928155
|
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: Zacatepec | Statement: [Estado Libre y Soberano de Morelos, hasMunicipality, Zacatepec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zacatepec Context triple: [Estado Libre y Soberano de Morelos, hasMunicipality, Zacatepec]
-
A.
Zacatepec
chosen
Zacatepec is a Mexican professional football club historically known for competing in the country's top divisions and developing notable players.
-
B.
Toluca
Toluca is a major city and the capital of the State of Mexico, known for its high altitude, industrial activity, and proximity to the Nevado de Toluca volcano.
-
C.
Celaya
Celaya is a major city and industrial municipality in the Mexican state of Guanajuato, known for its manufacturing sector and traditional cajeta (goat’s milk caramel).
-
D.
Tepic
Tepic is the capital city of the Mexican state of Nayarit, known as a regional commercial and transportation hub in western Mexico.
-
E.
Yautepec
Yautepec is a municipality in the Mexican state of Morelos known for its warm climate, agriculture, and growing tourism and residential developments.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a4512c8190b7782e1dee053000 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c5c80cc819099b0ad7a2911781c |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 8, 2026, 9:42 p.m.