Triple
T10345048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sal Velez Jr. |
E243722
|
entity |
| Predicate | hasFamilyName |
P18
|
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: [Sal Velez Jr., hasFamilyName, Velez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Velez Context triple: [Sal Velez Jr., hasFamilyName, 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.
Curaco de Vélez
Curaco de Vélez is a small coastal town and commune in southern Chile’s Chiloé Archipelago, known for its traditional Chilote culture and wooden architecture.
-
D.
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.
-
E.
Varela
Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9228cd88190bcd94b85537233c1 |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7507f708c8190b8cf684704a6e47d |
completed | April 9, 2026, 7:08 a.m. |
Created at: April 6, 2026, 11:56 a.m.