Triple
T7498258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vélez |
E177187
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Velez |
E177187
|
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: Velez | Statement: [Vélez, hasVariant, Velez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Velez Context triple: [Vélez, hasVariant, Velez]
-
A.
Vélez
chosen
Vélez is a Spanish-language surname common in Latin America and Spain, borne by various notable figures in arts, sports, and public life.
-
B.
Vélez
Vélez is a municipality in Colombia’s Santander Department known for its colonial heritage and traditional sweets.
-
C.
Quintero
Quintero is a coastal Chilean city known for its beaches, port activities, and role as part of the Valparaíso Region’s industrial and tourism corridor.
-
D.
Varela
Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
-
E.
Rivas
Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f597a0c08190b34fa283a11d98c7 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84608021481908ce58a131d75188b |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:44 p.m.