Triple
T12802769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio de Gaztañeta |
E306062
|
entity |
| Predicate | roleAtBattleOfCapePassaro |
P28183
|
FINISHED |
| Object | commander of the main Spanish squadron |
—
|
LITERAL 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: commander of the main Spanish squadron | Statement: [Antonio de Gaztañeta, roleAtBattleOfCapePassaro, commander of the main Spanish squadron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtBattleOfCapePassaro Context triple: [Antonio de Gaztañeta, roleAtBattleOfCapePassaro, commander of the main Spanish squadron]
-
A.
roleInBattleOfHubbardton
Indicates the specific role or involvement an entity had in the Battle of Hubbardton.
-
B.
roleAtBattleOfMorlaix
Indicates the specific role, position, or function an entity held during the Battle of Morlaix.
-
C.
roleInMexicanWarOfIndependence
Indicates the specific part or function an entity played in the events or efforts of the Mexican War of Independence.
-
D.
notableBattleRole
chosen
Indicates the specific role or function an entity played in a notable or historically significant battle.
-
E.
roleAtBattleOfIquique
Indicates the specific role or function an entity held during the Battle of Iquique.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7e3be48190ba9159c9f1ac2ccd |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:30 p.m.