Triple
T4121761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elpidio Quirino |
E92627
|
entity |
| Predicate | servedDuringConflict |
P19322
|
FINISHED |
| Object | early Cold War period |
—
|
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: early Cold War period | Statement: [Elpidio Quirino, servedDuringConflict, early Cold War period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedDuringConflict Context triple: [Elpidio Quirino, servedDuringConflict, early Cold War period]
-
A.
beganDuringConflict
Indicates that the action or relationship started while a specified conflict was ongoing.
-
B.
warParticipatedIn
Indicates that an entity took part as a combatant or active participant in a specific war or armed conflict.
-
C.
statusDuringWar
chosen
Indicates the role, condition, or classification an entity held specifically during a period of war.
-
D.
enemyDuringWar
Indicates that one entity is an enemy of another specifically in the context of a particular war or armed conflict.
-
E.
militaryConflictOversaw
Indicates that one party had authoritative oversight or command responsibility over a military conflict involving another party.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0246e40081908ad6741a830ca68e |
completed | March 9, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_69af01867698819098e4144634b2ec4f |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:41 p.m.