Triple
T10649997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colimes |
E250938
|
entity |
| Predicate | hasJurisdiction |
P285
|
FINISHED |
| Object | Colimes (town) |
E877239
|
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: Colimes (town) | Statement: [Colimes, hasJurisdiction, Colimes (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colimes (town) Context triple: [Colimes, hasJurisdiction, Colimes (town)]
-
A.
Colimes (town)
chosen
Colimes is a small town in Ecuador known as the administrative seat of Colimes Canton in the Guayas Province.
-
B.
Town of Lima
The Town of Lima is a small rural municipality in western New York State known for its historic village center and agricultural surroundings.
-
C.
Yoncalla
Yoncalla is a Native American language historically spoken by a subgroup of the Kalapuya people in what is now western Oregon.
-
D.
Tulco
Tulco is a business entity, formally known as Tulco LLC, that operates under the shorter trade name Tulco.
-
E.
Yaguajay town
Yaguajay town is a small Cuban municipality known for its historical significance in the Cuban Revolution and its location in the northern part of Sancti Spíritus Province.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe4b97081908815b77612222318 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d988530f288190b8150d159f723a74 |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 9:06 p.m.