Triple
T444757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Permanent Mission of France to the United Nations |
E10192
|
entity |
| Predicate | missionScope |
P13281
|
FINISHED |
| Object | multilateral diplomacy |
—
|
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: multilateral diplomacy | Statement: [Permanent Mission of France to the United Nations, missionScope, multilateral diplomacy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missionScope Context triple: [Permanent Mission of France to the United Nations, missionScope, multilateral diplomacy]
-
A.
missionFocus
Indicates that an entity’s primary attention, effort, or resources are directed toward a particular mission, goal, or objective.
-
B.
mission
Indicates that an entity is assigned or engaged in a specific task, operation, or purpose-directed undertaking.
-
C.
missionProfile
Indicates the specific set of objectives, conditions, and operational parameters that define how a mission is planned, conducted, and evaluated.
-
D.
missionName
Indicates the designated title or label assigned to a specific mission or operation.
-
E.
missionCadence
Indicates the frequency or regular interval at which missions are planned, launched, or conducted.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef459800819083cd9eef3e7b5295 |
completed | Feb. 28, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69a2eddfb5508190a4e06e1b260d8b2b |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeb9e6b0819093863959a6e5730a |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.