Triple
T30239618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CV-22 Osprey |
E768871
|
entity |
| Predicate | primaryBasing |
P107420
|
FINISHED |
| Object | Hurlburt Field, Florida |
E40509
|
NE 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: Hurlburt Field, Florida | Statement: [CV-22 Osprey, primaryBasing, Hurlburt Field, Florida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryBasing Context triple: [CV-22 Osprey, primaryBasing, Hurlburt Field, Florida]
-
A.
primaryFor
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
-
B.
primaryUSBase
chosen
Indicates that a given location serves as the main or most important United States base associated with an entity.
-
C.
primarySettingOf
Indicates that a location or context serves as the main or principal setting in which an entity (such as a story, event, or activity) takes place.
-
D.
primaryType
Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
-
E.
primarySingle
Indicates that an entity has exactly one main or primary association of the specified type, with no additional concurrent primary associations.
- F. None of above.
Provenance (4 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_69f224820c048190b1435c4cc145acf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a01e3a2d0e08190a7d5622920dc56e6 |
completed | May 11, 2026, 2:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a27644db2708190a92d1d56d98f9191 |
completed | June 9, 2026, 12:54 a.m. |
| PD | Predicate disambiguation | batch_6a01e3013e7881909f0cdca25a53c009 |
completed | May 11, 2026, 2:09 p.m. |
Created at: April 29, 2026, 7:38 p.m.