Triple
T19883898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebanese Armed Forces |
E477844
|
entity |
| Predicate | engagedInOperation |
P53859
|
FINISHED |
| Object | UNIFIL cooperation in South Lebanon |
—
|
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: UNIFIL cooperation in South Lebanon | Statement: [Lebanese Armed Forces, engagedInOperation, UNIFIL cooperation in South Lebanon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engagedInOperation Context triple: [Lebanese Armed Forces, engagedInOperation, UNIFIL cooperation in South Lebanon]
-
A.
isPartOfOperation
Indicates that one entity functions as a component, phase, or element within a larger, overarching operation.
-
B.
isOperatedIn
Indicates that an entity carries out its operations or activities within a specified location, region, or jurisdiction.
-
C.
inOperationDuring
Indicates that an entity is actively functioning or in use throughout a specified time period or event.
-
D.
operatorDuringOperation
chosen
Indicates that an operator is the one performing or responsible for an operation during its execution.
-
E.
operationOf
Indicates that one entity is the function, activity, or process carried out by another entity (such as a system, device, or organization).
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590870908190a18b545f0ff0ccd6 |
completed | April 20, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.