Triple
T36039474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawaii island airports |
E1042498
|
entity |
| Predicate | militaryAirfieldIncluded |
P2882
|
FINISHED |
| Object | Bradshaw Army Airfield |
—
|
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: Bradshaw Army Airfield | Statement: [Hawaii island airports, militaryAirfieldIncluded, Bradshaw Army Airfield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryAirfieldIncluded Context triple: [Hawaii island airports, militaryAirfieldIncluded, Bradshaw Army Airfield]
-
A.
containsAirfield
chosen
Indicates that a location or area includes at least one airfield within its boundaries.
-
B.
airfieldDefended
Indicates that defensive measures or forces are in place to protect an airfield from attack or unauthorized intrusion.
-
C.
hasFormerMilitaryAirfield
Indicates that an entity possesses or is associated with an airfield that was previously used for military purposes but is no longer active as such.
-
D.
airfieldRole
Indicates the functional role or operational purpose that an airfield serves within a broader system or context.
-
E.
airfieldBuilt
Indicates that an airfield has been constructed or established, typically specifying who built it, where, and/or when.
- 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_69f76e2d7e8c8190bac4e90734566799 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: May 3, 2026, 4:07 p.m.