Triple
T7469725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonor Varela |
E176470
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Varela |
E411289
|
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: Varela | Statement: [Leonor Varela, familyName, Varela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varela Context triple: [Leonor Varela, familyName, Varela]
-
A.
Varela
chosen
Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
-
B.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
C.
Aravena
Aravena is a Chilean surname most prominently associated with Alejandro Aravena, the renowned architect and Pritzker Prize laureate.
-
D.
Rivas
Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
-
E.
Briceño
Briceño is a municipality in Colombia’s Cundinamarca Department, located within the Sabana Centro Province near the Bogotá metropolitan area.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3f845e081908117783ff1e63e23 |
completed | March 27, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c625a388190bfe9237568ab2005 |
completed | March 28, 2026, 8:38 p.m. |
Created at: March 27, 2026, 3:41 p.m.