Triple
T8025632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Apodaca |
E186846
|
entity |
| Predicate | hasCapital |
P204
|
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: [Municipality of Apodaca, hasCapital, Apodaca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apodaca Context triple: [Municipality of Apodaca, hasCapital, 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.
Cadereyta Jiménez
Cadereyta Jiménez is a municipality in the Mexican state of Nuevo León, known for its oil refinery and agricultural activities within the Monterrey metropolitan area.
-
E.
Curridabat
Curridabat is a suburban city and canton in Costa Rica known for its residential neighborhoods, commercial development, and proximity to the capital, San José.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ec9983c8190b468c13f5b5beb63 |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccecc7c7f08190981e00342325a6da |
completed | April 1, 2026, 10 a.m. |
Created at: March 30, 2026, 5:21 p.m.