Triple
T3791917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NATO Special Operations Headquarters |
E89669
|
entity |
| Predicate | hasStaffFrom |
P478
|
FINISHED |
| Object | NATO member states |
—
|
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: NATO member states | Statement: [NATO Special Operations Headquarters, hasStaffFrom, NATO member states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStaffFrom Context triple: [NATO Special Operations Headquarters, hasStaffFrom, NATO member states]
-
A.
staffIncluded
chosen
Indicates that staff members are included or provided as part of the associated entity, service, or arrangement.
-
B.
hasEmployees
Indicates that one entity employs one or more other entities as its workers or staff.
-
C.
hasTeamMember
Indicates that an entity includes another entity as a member of its team.
-
D.
hasMemberFrom
Indicates that a group, organization, or collection includes at least one member originating from or belonging to a specified source, place, or category.
-
E.
belongsToCompany
Indicates that an entity is owned, employed, or otherwise formally associated with a specific company.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecefa3608190a7a20ed6df6a64b2 |
completed | March 9, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69aee743c8d08190a9f9c97b836bd703 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:15 p.m.