Triple
T17829155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosario Department |
E445202
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Álvarez |
—
|
NE NERFINISHED |
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: Álvarez | Statement: [Rosario Department, contains, Álvarez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Álvarez Context triple: [Rosario Department, contains, Álvarez]
-
A.
Álvarez
chosen
Álvarez is a common Spanish surname borne by numerous notable individuals across the Spanish-speaking world.
-
B.
Álvaro
Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
-
C.
Javier Álvarez
Javier Álvarez is a Mexican composer known for his innovative use of electroacoustic techniques and incorporation of diverse musical styles into contemporary classical music.
-
D.
Javier Álvarez
Javier Álvarez is a Colombian football manager known for his tenure leading top-flight clubs such as Independiente Medellín.
-
E.
Ceballos
Ceballos is a Spanish surname borne by various notable figures in politics, sports, and the arts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4891696cc819092ee6db7c4a6fae1 |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.