Triple
T9083575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cogua |
E217693
|
entity |
| Predicate | capitalOfMunicipality |
P15510
|
FINISHED |
| Object | Cogua (town) |
E217693
|
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: Cogua (town) | Statement: [Cogua, capitalOfMunicipality, Cogua (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cogua (town) Context triple: [Cogua, capitalOfMunicipality, Cogua (town)]
-
A.
Cogua
chosen
Cogua is a municipality in the Cundinamarca Department of Colombia, located on the Bogotá savanna north of the capital.
-
B.
Conselice
Conselice is a small Italian town and municipality located in the Emilia-Romagna region in northern Italy.
-
C.
Conca
Conca is a small commune in southern Corsica, France, known as a gateway village for hikers on the famous GR20 long-distance trail.
-
D.
Pomonte
Pomonte is a small coastal village on the western side of Elba Island in Tuscany, Italy, known for its scenic beaches and nearby shipwreck diving site.
-
E.
Monteveglio
Monteveglio is a small historic town in the Emilia-Romagna region of northern Italy, known for its medieval architecture and surrounding hilly countryside.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc960b45fc8190adf4bdc41b103e86 |
completed | April 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffe30093481908b3ec394cf585642 |
completed | April 3, 2026, 5:51 p.m. |
Created at: March 30, 2026, 7:13 p.m.