Triple
T8752271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chilean corvette Esmeralda |
E207986
|
entity |
| Predicate | roleAtBattleOfIquique |
P85186
|
FINISHED |
| Object | blockading Iquique |
—
|
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: blockading Iquique | Statement: [Chilean corvette Esmeralda, roleAtBattleOfIquique, blockading Iquique]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtBattleOfIquique Context triple: [Chilean corvette Esmeralda, roleAtBattleOfIquique, blockading Iquique]
-
A.
opponentInBattleOfTheRiverPlate
Indicates that two entities were opposing sides facing each other in the Battle of the River Plate.
-
B.
roleInSpanishAmericanWar
Indicates the specific function, position, or involvement an entity had in the events or activities of the Spanish–American War.
-
C.
opponentAtTrafalgar
Indicates that one entity was an opposing side or adversary of the other in the Battle of Trafalgar.
-
D.
roleAtLeyteGulf
Indicates the specific role or function an entity performed in the context of the Battle of Leyte Gulf.
-
E.
FalklandsWarBelligerent
Indicates that an entity was a participating belligerent (a warring party) in the Falklands War.
- F. None of above. chosen
Provenance (4 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da8cc548190a31ad542d2faf2d5 |
completed | March 31, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69cc5c160dac8190b4aeb4bf0529de52 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:39 p.m.