Triple
T13159842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World War II Cowra breakout |
E312695
|
entity |
| Predicate | numberOfEscapees |
P24508
|
FINISHED |
| Object | approximately 1100 |
—
|
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: approximately 1100 | Statement: [World War II Cowra breakout, numberOfEscapees, approximately 1100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEscapees Context triple: [World War II Cowra breakout, numberOfEscapees, approximately 1100]
-
A.
numberOfPrisonEscapes
chosen
Indicates the count of times an entity has escaped or attempted to escape from prison.
-
B.
coEscapee
Indicates that two or more entities escaped together from the same place or situation.
-
C.
estimatedPrisoners
Indicates a relationship where a value represents the estimated number of prisoners associated with a particular entity or context.
-
D.
numberOfPeopleTrapped
Indicates the count of individuals who are currently trapped in a given situation or location.
-
E.
numberOfEmergencyExits
Indicates the quantity of emergency exits associated with an entity or location.
- 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.