Triple
T28538921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Stabilization Mission in Haiti |
E722240
|
entity |
| Predicate | fieldMissionType |
P22637
|
FINISHED |
| Object | stabilization 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: stabilization mission | Statement: [United Nations Stabilization Mission in Haiti, fieldMissionType, stabilization mission]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldMissionType Context triple: [United Nations Stabilization Mission in Haiti, fieldMissionType, stabilization mission]
-
A.
typeOfMission
chosen
Indicates the specific category or nature of a mission that an entity is associated with or engaged in.
-
B.
typeOfMissionSupport
Indicates the kind or category of support provided in relation to a specific mission.
-
C.
overseesMissionType
Indicates that one entity has responsibility for supervising or managing a particular type or category of mission carried out by another entity.
-
D.
segmentMission
Indicates that a specific mission is associated with, assigned to, or carried out within a particular segment or phase.
-
E.
militaryObjectiveType
Indicates the specific category or kind of military objective that characterizes the action or relationship.
- 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_69f01a5e42348190b1ffbca26e739c84 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 28, 2026, 3:34 a.m.