Triple
T29879687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Angamos |
E758841
|
entity |
| Predicate | combatantCommanderForChile |
P85188
|
FINISHED |
| Object | Galvarino Riveros Cárdenas |
—
|
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: Galvarino Riveros Cárdenas | Statement: [Battle of Angamos, combatantCommanderForChile, Galvarino Riveros Cárdenas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: combatantCommanderForChile Context triple: [Battle of Angamos, combatantCommanderForChile, Galvarino Riveros Cárdenas]
-
A.
commanderForChile
chosen
Indicates that an individual serves or has served as a military or organizational commander on behalf of Chile.
-
B.
commanderArgentina
Indicates that one entity serves as the military or organizational commander of Argentina.
-
C.
commanderForPeru
Indicates that an entity serves or has served as a military commander on behalf of Peru.
-
D.
commandingOfficerAtBattleOfIquique
Indicates that one entity served as the commanding officer of the other entity during the Battle of Iquique.
-
E.
militaryCommanderMexican
Indicates that one entity serves as the military commander of the other entity, specifically within a Mexican military context.
- F. None of above.
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_69f2245de2f48190a481404896b56254 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 5:57 p.m.