Triple
T13159987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cowra Prisoner of War Camp Site |
E312698
|
entity |
| Predicate | numberOfPrisonersDuringWar |
P108832
|
FINISHED |
| Object | over 4000 |
—
|
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: over 4000 | Statement: [Cowra Prisoner of War Camp Site, numberOfPrisonersDuringWar, over 4000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPrisonersDuringWar Context triple: [Cowra Prisoner of War Camp Site, numberOfPrisonersDuringWar, over 4000]
-
A.
prisonersOfWar
Indicates a relationship where certain individuals are held in custody by an enemy during an armed conflict as prisoners of war.
-
B.
numberOfHoldersKilledInWorldWarII
Indicates the number of holders of a given title, position, or role who were killed during World War II.
-
C.
postwarInmatesNumber
Indicates the number of inmates held after a war or conflict, typically during the postwar period.
-
D.
AustrianPrisonersTakenApproximate
Indicates that an approximate number of Austrian prisoners were taken or captured in a given context or event.
-
E.
numberOfGermanTroopsEncircled
Indicates the quantity of German troops that are surrounded and cut off from escape or reinforcement in a given military situation.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bbd1d088190b7c69f37fc6eeb64 |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98ceeb22c8190a6be666031d9e5a4 |
completed | April 10, 2026, 11:51 p.m. |
Created at: April 9, 2026, 9:12 p.m.