Triple
T30122181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NATO AWACS squadrons |
E765588
|
entity |
| Predicate | composedOfPersonnelFrom |
P12729
|
FINISHED |
| Object | multiple 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: multiple NATO member states | Statement: [NATO AWACS squadrons, composedOfPersonnelFrom, multiple NATO member states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composedOfPersonnelFrom Context triple: [NATO AWACS squadrons, composedOfPersonnelFrom, multiple NATO member states]
-
A.
personnelComposition
chosen
Indicates the makeup or distribution of people or roles within a group, organization, or unit.
-
B.
composedBy
Indicates that one entity is the creator or author of a musical or artistic work associated with another entity.
-
C.
hasMusicalPersonnel
Indicates a relationship where an entity is associated with specific musical personnel who perform, contribute to, or are involved in its musical activities or productions.
-
D.
crew
Indicates that one entity serves as the group of people who operate, staff, or work on another entity (such as a vehicle, vessel, or production).
-
E.
producerOftenWorkedWith
Indicates that a producer frequently collaborated or worked together with a particular entity (such as an artist, director, or production team) on multiple projects.
- 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_69f2247716748190ae4f16998f49ddf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 29, 2026, 7:13 p.m.