Triple
T9369341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Entebbe |
E225488
|
entity |
| Predicate | hostagesRescued |
P36180
|
FINISHED |
| Object | over 100 hostages rescued |
—
|
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 100 hostages rescued | Statement: [Operation Entebbe, hostagesRescued, over 100 hostages rescued]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostagesRescued Context triple: [Operation Entebbe, hostagesRescued, over 100 hostages rescued]
-
A.
numberOfHostages
chosen
Indicates the quantity of hostages involved in a particular situation, event, or context.
-
B.
hostages
Indicates that one party is forcibly holding another party captive, typically to compel a third party to meet certain demands or conditions.
-
C.
hostageLocation
Indicates that a person or group is being held as a hostage at a specific location.
-
D.
usedMeansToRescue
Indicates that one entity employed a particular method, tool, or means in order to carry out a rescue.
-
E.
takesHostageDuring
Indicates that one entity seizes and holds another entity as a hostage in the course of a particular event or action.
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5080f55c8190bd5ca0dc0a4ea989 |
completed | April 1, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69cc7a6abb8c81908c7a2f4ee92cc949 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:43 p.m.