Triple
T13159920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cowra breakout |
E312697
|
entity |
| Predicate | POWCampType |
P10334
|
FINISHED |
| Object | 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: prisoner of war camp | Statement: [Cowra breakout, POWCampType, prisoner of war camp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: POWCampType Context triple: [Cowra breakout, POWCampType, prisoner of war camp]
-
A.
hasCampType
chosen
Indicates that an entity is associated with or classified by a particular type or category of camp.
-
B.
hostsTypeOfEvent
Indicates that an entity organizes or provides the venue for a particular type or category of event.
-
C.
typeOfEvent
Indicates that one entity is classified as a specific kind or category of event.
-
D.
conferenceType
Indicates the specific category or kind of conference associated with an entity (e.g., workshop, symposium, seminar).
-
E.
trainingCamps
Indicates that one entity organizes, hosts, or is associated with training camps for another entity or group.
- 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_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. |
Created at: April 9, 2026, 9:12 p.m.