Triple
T34893603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonel Saito |
E1006367
|
entity |
| Predicate | commandantOf |
P59131
|
FINISHED |
| Object | World War II prisoner-of-war camp |
—
|
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: World War II prisoner-of-war camp | Statement: [Colonel Saito, commandantOf, World War II prisoner-of-war camp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commandantOf Context triple: [Colonel Saito, commandantOf, World War II prisoner-of-war camp]
-
A.
wasCommandantOf
chosen
Indicates that one entity served as the commandant (chief commanding officer) of another entity, typically a military unit, institution, or facility.
-
B.
hasCommandant
Indicates that an entity is under the authority or leadership of a specific commandant.
-
C.
commander
Indicates that one entity holds authoritative military or organizational control over another entity or group.
-
D.
chiefOfGeneralStaff
Indicates that a person holds the position of Chief of the General Staff in relation to a specific military organization or armed forces.
-
E.
chiefOfStaff
Indicates that one entity serves as the chief of staff for another entity, typically managing operations and coordinating activities on its behalf.
- 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 3, 2026, 4 p.m.