Triple
T10649979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colimes (town) |
E250938
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Colimes |
E250938
|
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 | Statement: [Colimes (town), locatedIn, Colimes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colimes Context triple: [Colimes (town), locatedIn, Colimes]
-
A.
Colimes
chosen
Colimes is a small town and canton in coastal Ecuador known for its agricultural activities within Guayas Province.
-
B.
Oros
Oros is a town in Maharashtra, India, that serves as an administrative and commercial center for the surrounding Sindhudurg district.
-
C.
Oros
Oros is a surname most notably associated with Joe Oros, an American automobile designer known for his work at Ford.
-
D.
Oriturus
Oriturus is a genus of New World sparrows known for its grassland-dwelling species found in parts of Mexico.
-
E.
Guereda
Guereda is a town in eastern Chad that serves as an administrative and market center in the Wadi Fira region.
- 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_69d97a69a57c81908bf99cac0c0a49f2 |
completed | April 10, 2026, 10:32 p.m. |
Created at: April 8, 2026, 9:06 p.m.