Triple
T27757366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camp Faouar |
E701367
|
entity |
| Predicate | partOfMissionType |
P194653
|
FINISHED |
| Object | UN peacekeeping mission |
—
|
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: UN peacekeeping mission | Statement: [Camp Faouar, partOfMissionType, UN peacekeeping mission]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfMissionType Context triple: [Camp Faouar, partOfMissionType, UN peacekeeping mission]
-
A.
partOfMission
Indicates that one entity is a component, phase, or element belonging to or included within a larger mission.
-
B.
typeOfMission
Indicates the specific category or nature of a mission that an entity is associated with or engaged in.
-
C.
typeOfMissionSupport
Indicates the kind or category of support provided in relation to a specific mission.
-
D.
containsMission
Indicates that one entity includes or encompasses a mission as part of its contents, scope, or responsibilities.
-
E.
missionTypeSupport
Indicates that one entity provides support or assistance to another within the context of a specific mission or operation.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fd7fdafbe881908a31fcb407af2c34 |
completed | May 8, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69fd7ef0ea908190b5d83f71565bdb1c |
completed | May 8, 2026, 6:13 a.m. |
| PDg | Predicate description generation | batch_69fd7fd9be2881908a7f00e0e8822de8 |
completed | May 8, 2026, 6:16 a.m. |
Created at: April 27, 2026, 4:24 p.m.