Triple
T933832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Interim Force in Lebanon |
E20151
|
entity |
| Predicate | typeOfMission |
P22637
|
FINISHED |
| Object | multinational peacekeeping force |
—
|
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: multinational peacekeeping force | Statement: [United Nations Interim Force in Lebanon, typeOfMission, multinational peacekeeping force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMission Context triple: [United Nations Interim Force in Lebanon, typeOfMission, multinational peacekeeping force]
-
A.
missionName
Indicates the designated title or label assigned to a specific mission or operation.
-
B.
missionProfile
Indicates the specific set of objectives, conditions, and operational parameters that define how a mission is planned, conducted, and evaluated.
-
C.
overseesMission
Indicates that one entity has responsibility for supervising, directing, or managing the execution of a mission undertaken by another entity.
-
D.
missionScope
Indicates the defined range, objectives, and boundaries within which a mission or operation is intended to be carried out.
-
E.
mission
Indicates that an entity is assigned or engaged in a specific task, operation, or purpose-directed undertaking.
- F. None of above. chosen
Provenance (4 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3bcad2481908b83575b2fb80d14 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b299c4d881908a57ac2711676cd7 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b3bab5788190a62a0e23a698f7c7 |
completed | March 1, 2026, 9:46 p.m. |
Created at: March 1, 2026, 7:40 p.m.