Triple
T7699513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zapopan |
E174452
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Amatitán |
E688975
|
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: Amatitán | Statement: [Zapopan, borders, Amatitán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amatitán Context triple: [Zapopan, borders, Amatitán]
-
A.
Amatitán
chosen
Amatitán is a town in the Mexican state of Jalisco known as part of the historic tequila-producing region and a center of agave cultivation and distillation.
-
B.
Chimalhuacán
Chimalhuacán is a densely populated urban municipality in the eastern part of the State of Mexico, forming part of the Mexico City metropolitan area.
-
C.
Amatlán de Cañas
Amatlán de Cañas is a small municipality and town in the southern part of the Mexican state of Nayarit, known for its mountainous terrain, hot springs, and traditional rural character.
-
D.
Zacahuitzco
Zacahuitzco is a neighborhood located within the Benito Juárez borough of Mexico City.
-
E.
Apatzingán
Apatzingán is a city in the Mexican state of Michoacán, historically notable as a key site in the country’s early independence movement.
- 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_69c6995a72cc8190998e56daa6f8e453 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7026ba7b48190a18f1c1cbbf1b944 |
completed | March 27, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c941fcac908190a2e9401f136b5f77 |
completed | March 29, 2026, 3:15 p.m. |
Created at: March 27, 2026, 4:03 p.m.