Triple
T16512564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuel Montt metro station |
E401095
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Providencia |
E103259
|
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: Providencia | Statement: [Manuel Montt metro station, locatedIn, Providencia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Providencia Context triple: [Manuel Montt metro station, locatedIn, Providencia]
-
A.
Providencia
chosen
Providencia is a central, upscale commune of Santiago, Chile, known for its residential neighborhoods, commercial areas, and cultural attractions.
-
B.
Providencia commune
Providencia commune is a centrally located, affluent district of Santiago, Chile, known for its residential neighborhoods, commercial areas, parks, and cultural attractions.
-
C.
Muribeca
Muribeca is a municipality in the Brazilian state of Sergipe, known for its rural character within the semi-arid interior region.
-
D.
Concepcion
Concepcion is a municipality in the province of Tarlac in the Philippines, known primarily as an agricultural town in Central Luzon.
-
E.
Concepcion
Concepcion is a small island municipality in the province of Romblon in the Philippines, known for its rural coastal communities and surrounding marine environment.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e77d9b081909235cb5ba77d1e29 |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0060827d988190b2c0c075a49dfde8 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:14 a.m.