Triple
T8734244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gualivá Province |
E207334
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Villeta |
E31476
|
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: Villeta | Statement: [Gualivá Province, administrativeCenter, Villeta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villeta Context triple: [Gualivá Province, administrativeCenter, Villeta]
-
A.
Villeta
chosen
Villeta is a Colombian town and municipality in the department of Cundinamarca, known for its warm climate and sugarcane production.
-
B.
Villa
Villa is a shorthand name commonly used to refer to Aston Villa Football Club, a historic English professional football team based in Birmingham.
-
C.
Villete
Villete is a fictional town in Charlotte Brontë’s novel of the same name, serving as the atmospheric setting for Lucy Snowe’s experiences in a girls’ boarding school.
-
D.
Villa Alegre
Villa Alegre is a small rural municipality in Chile’s Maule Region, known for its agricultural activity and traditional central valley landscapes.
-
E.
Villa Carlos
Villa Carlos is the former historical name of the town now known as Es Castell, located on the island of Menorca in Spain.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d2a26988190acfda17f232e610a |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5174db7881908597d5dc472adde9 |
completed | April 3, 2026, 5:34 a.m. |
Created at: March 30, 2026, 6:37 p.m.