Triple
T1459494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villeta |
E31476
|
entity |
| Predicate | hasOfficialName |
P66
|
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: [Villeta, hasOfficialName, Villeta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villeta Context triple: [Villeta, hasOfficialName, 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.
Violetta Villas
Violetta Villas was a Polish singer and actress renowned for her extraordinary vocal range and dramatic stage presence, making her one of the most distinctive performers in Eastern European popular music.
-
D.
Villa Las Estrellas
Villa Las Estrellas is a small Chilean civilian settlement and research support community located on King George Island in Antarctica.
-
E.
Villa de Aragón
Villa de Aragón is a Mexico City Metrobús station that serves as the terminus of Line 6 in the northeastern part of the city.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c59c1c288190be08064f2d351b2b |
completed | March 1, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e786a208190a57c4e1878c66517 |
completed | March 8, 2026, 5:51 a.m. |
Created at: March 1, 2026, 8 p.m.