Triple
T22087720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuy River |
E545825
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Santa Lucía |
—
|
NE NERFINISHED |
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: Santa Lucía | Statement: [Tuy River, nearbySettlement, Santa Lucía]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Lucía Context triple: [Tuy River, nearbySettlement, Santa Lucía]
-
A.
Santa Lucía
Santa Lucía is a town and canton in coastal Ecuador known for its agricultural activities within the Guayas Province.
-
B.
Santa Lucía
Santa Lucía is a picturesque colonial-era town in central Honduras known for its cobblestone streets, historic church, and scenic views near the capital, Tegucigalpa.
-
C.
Santa Lucía
Santa Lucía is a small rural municipality in Nicaragua’s central Boaco Department, known for its agricultural economy and traditional countryside lifestyle.
-
D.
Santa Lucía
Santa Lucía is a municipality in northern Colombia’s Caribbean region, located within the Atlántico Department.
-
E.
Santa Lucía
Santa Lucía is a metro station that serves passengers on an urban rail transit system, likely named after its surrounding neighborhood or a local landmark.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e3a98481908a7b3dc3f2a90276 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.