Triple
T2276221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Moses |
E50776
|
entity |
| Predicate | reasonForRescue |
P20908
|
FINISHED |
| Object | famine in Ethiopia |
—
|
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: famine in Ethiopia | Statement: [Operation Moses, reasonForRescue, famine in Ethiopia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForRescue Context triple: [Operation Moses, reasonForRescue, famine in Ethiopia]
-
A.
reasonForRelease
Indicates the cause, justification, or circumstance that led to an entity being released.
-
B.
reasonForEvent
chosen
Indicates that one event occurs as a consequence of, or is motivated or explained by, another specified cause or reason.
-
C.
reasonForTribute
Indicates the underlying cause, justification, or circumstance that explains why a tribute is given.
-
D.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
-
E.
rescuedLocation
Indicates the place where a rescue action occurred or from which someone or something was rescued.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc39c6ff0819081a07696f1c29990 |
completed | March 7, 2026, 6:20 a.m. |
| PD | Predicate disambiguation | batch_69abbdb7719081909143efa8f48df4e4 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.