Triple
T22937336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Kesh prison |
E569620
|
entity |
| Predicate | numberOfEscapeesIn1983Escape |
P24508
|
FINISHED |
| Object | 38 |
—
|
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: 38 | Statement: [Long Kesh prison, numberOfEscapeesIn1983Escape, 38]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEscapeesIn1983Escape Context triple: [Long Kesh prison, numberOfEscapeesIn1983Escape, 38]
-
A.
numberOfPrisonEscapes
chosen
Indicates the count of times an entity has escaped or attempted to escape from prison.
-
B.
numberOfEscapedArabPrisoners
Indicates the count of Arab prisoners who have escaped from custody.
-
C.
numberOfPeopleTrapped
Indicates the count of individuals who are currently trapped in a given situation or location.
-
D.
estimatedPrisoners
Indicates a relationship where a value represents the estimated number of prisoners associated with a particular entity or context.
-
E.
numberOfHostages
Indicates the quantity of hostages involved in a particular situation, event, or context.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18136bf448190afa04f8b55a8bb6e |
completed | April 29, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:45 p.m.