Triple
T23898987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TUS |
E600986
|
entity |
| Predicate | nearbyMilitaryUnit |
P15652
|
FINISHED |
| Object | 162nd Wing of the Arizona Air National Guard |
—
|
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: 162nd Wing of the Arizona Air National Guard | Statement: [TUS, nearbyMilitaryUnit, 162nd Wing of the Arizona Air National Guard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyMilitaryUnit Context triple: [TUS, nearbyMilitaryUnit, 162nd Wing of the Arizona Air National Guard]
-
A.
hasNearbyMilitaryTown
Indicates that one location is situated close to a town whose primary function or identity is associated with military presence or activity.
-
B.
nearMilitaryInstallation
chosen
Indicates that one entity is located in close physical proximity to a military installation or facility.
-
C.
garrisonedUnit
Indicates that one unit is stationed inside, occupying, or defending another entity such as a building, vehicle, or fortification.
-
D.
hasNearbyMilitaryTrainingArea
Indicates that an entity is located close to a designated area used for military training activities.
-
E.
isAboutMilitaryUnit
Indicates that something (such as a document, statement, or resource) concerns, discusses, or pertains to a specific military unit.
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cddca9708190acd3e9edc9b5940b |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:25 p.m.