Triple
T630748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pensacola, Florida |
E15919
|
entity |
| Predicate | hasProfessionalTrainingFacility |
P9852
|
FINISHED |
| Object | Blue Angels home base at NAS Pensacola |
—
|
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: Blue Angels home base at NAS Pensacola | Statement: [Pensacola, Florida, hasProfessionalTrainingFacility, Blue Angels home base at NAS Pensacola]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProfessionalTrainingFacility Context triple: [Pensacola, Florida, hasProfessionalTrainingFacility, Blue Angels home base at NAS Pensacola]
-
A.
trainingInstitution
Indicates that one entity serves as the institution or organization where another entity receives training or education.
-
B.
trainingFacilityLocation
chosen
Indicates the place or site where a training facility is situated or operates.
-
C.
trainingSystem
Indicates a system or framework used to train, instruct, or develop skills or knowledge in a target entity.
-
D.
hasFacilities
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
-
E.
hasEducationalProgram
Indicates that an entity offers, runs, or is associated with a specific educational program.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ec171008190ab91dee86e9279af |
completed | March 1, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69a49d030c648190ba1a02301b45f694 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.