Triple
T29684296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TH-73A Thrasher |
E751040
|
entity |
| Predicate | primaryTrainingBase |
P11445
|
FINISHED |
| Object | Naval Air Station Whiting Field |
—
|
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: Naval Air Station Whiting Field | Statement: [TH-73A Thrasher, primaryTrainingBase, Naval Air Station Whiting Field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTrainingBase Context triple: [TH-73A Thrasher, primaryTrainingBase, Naval Air Station Whiting Field]
-
A.
servesAsTrainingBaseFor
Indicates that one entity functions as a location or facility where another entity receives training or practical preparation.
-
B.
primaryTrainingFocus
Indicates the main area or aspect that training is chiefly directed toward or concentrated on.
-
C.
trainingBase
chosen
Indicates that one entity serves as the training base, site, or facility where another entity receives training or instruction.
-
D.
trainingGround
Indicates a location or context where entities engage in practice, drills, or preparation activities to develop or improve skills.
-
E.
trainingGroundFor
Indicates that one entity serves as a place or context where another entity is trained, prepared, or developed.
- 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a016cc5abcc8190b64094c777b40f6f |
completed | May 11, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_6a016b997ecc8190818207c57b9cbf17 |
completed | May 11, 2026, 5:39 a.m. |
Created at: April 28, 2026, 7:12 p.m.