Triple
T13014488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Chorrera District |
E322511
|
entity |
| Predicate | hasSeat |
P3522
|
FINISHED |
| Object | La Chorrera |
E967993
|
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: La Chorrera | Statement: [La Chorrera District, hasSeat, La Chorrera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Chorrera Context triple: [La Chorrera District, hasSeat, La Chorrera]
-
A.
La Chorrera
chosen
La Chorrera is a rapidly growing city in central Panama, known as a major suburban and commercial hub west of Panama City.
-
B.
Boyacá Chicó
Boyacá Chicó is a Colombian professional football club based in Tunja, known for competing in the country's top-tier league and for its rapid rise from the lower divisions in the 2000s.
-
C.
La Fortuna
La Fortuna is a popular Costa Rican town known as the main gateway to Arenal Volcano and its surrounding hot springs and adventure tourism.
-
D.
La Fortuna
La Fortuna is a Madrid Metro station serving the La Fortuna neighborhood in the city’s southwestern outskirts.
-
E.
Carabayllo
Carabayllo is a district in the northern part of Lima, Peru, known as one of the city's oldest and largest administrative areas.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecbb8f4819094d55eb07cb5ad97 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbc77f308190b3b47f7a092db434 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:50 p.m.