Triple
T10541657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Duncan (D37) |
E248707
|
entity |
| Predicate | aviationFacility |
P13763
|
FINISHED |
| Object | flight deck |
—
|
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: flight deck | Statement: [HMS Duncan (D37), aviationFacility, flight deck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aviationFacility Context triple: [HMS Duncan (D37), aviationFacility, flight deck]
-
A.
aircraftFacility
chosen
Indicates that a facility is designed, equipped, or used to support the operation, maintenance, or accommodation of aircraft.
-
B.
isCivilAirport
Indicates that an airport is designated and used primarily for civilian (non-military) aviation operations.
-
C.
airportRole
Indicates that an entity serves a specific functional role or capacity within the context of an airport.
-
D.
airfieldRole
Indicates the functional role or operational purpose that an airfield serves within a broader system or context.
-
E.
airportOwner
Indicates that one entity owns, controls, or holds primary legal responsibility for an airport.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a5918648190b16c2d1bc1bf015f |
completed | April 7, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69d4fb9729288190a0149f127acd7ae3 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:32 p.m.