Triple
T6643693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guadalupe, Nuevo León |
E150646
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Apodaca |
E231906
|
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: Apodaca | Statement: [Guadalupe, Nuevo León, borders, Apodaca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apodaca Context triple: [Guadalupe, Nuevo León, borders, Apodaca]
-
A.
Apodaca
chosen
Apodaca is a rapidly growing industrial city and suburb of Monterrey in the Mexican state of Nuevo León.
-
B.
Parral
Parral is a historic mining city in the Mexican state of Chihuahua, known for its colonial architecture and its association with revolutionary leader Pancho Villa.
-
C.
Parral
Parral is a Chilean town known as the birthplace of Nobel Prize–winning poet Pablo Neruda, located in the country’s agricultural Maule Region.
-
D.
Villacarrillo
Villacarrillo is a town and municipality in the province of Jaén in Andalusia, southern Spain, known for its surrounding olive groves and agricultural economy.
-
E.
Irapuato
Irapuato is a Mexican professional football club based in the city of Irapuato, Guanajuato, known for its passionate fan base and history in the country’s lower divisions.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff749d48190bf24d448daf13bc7 |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7006ef73081909fd9081a9184ecd0 |
completed | March 27, 2026, 10:10 p.m. |
Created at: March 27, 2026, 2 p.m.