Triple
T26880192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheppard Air Force Base |
E676870
|
entity |
| Predicate | alliedTrainingPartners |
P20446
|
FINISHED |
| Object | NATO member states |
—
|
NE NERFINISHED |
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: [Sheppard Air Force Base, alliedTrainingPartners, NATO member states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alliedTrainingPartners Context triple: [Sheppard Air Force Base, alliedTrainingPartners, NATO member states]
-
A.
alliedAgency
Indicates that one agency has a formal alliance or cooperative partnership relationship with another agency.
-
B.
providesTrainingFor
Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
-
C.
alliedOperators
Indicates that two operators are aligned as allies, cooperating or acting in support of a shared objective.
-
D.
trainingPartner
chosen
Indicates that two entities participate together in training activities, typically collaborating or assisting each other in practice or skill development.
-
E.
servesAsTrainingBaseFor
Indicates that one entity functions as a location or facility where another entity receives training or practical preparation.
- 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_69eee9bb44988190b6e11652d028bc59 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61f1b87948190bceade4b6a76752f |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 5:38 a.m.