Triple
T7700085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RAF Kirton-in-Lindsey |
E174468
|
entity |
| Predicate | isMilitaryAirfield |
P46848
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [RAF Kirton-in-Lindsey, isMilitaryAirfield, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMilitaryAirfield Context triple: [RAF Kirton-in-Lindsey, isMilitaryAirfield, true]
-
A.
isAirBase
chosen
Indicates that the subject entity functions as a military air base, i.e., a facility used for operating, housing, and supporting aircraft and related activities.
-
B.
airfieldRole
Indicates the functional role or operational purpose that an airfield serves within a broader system or context.
-
C.
containsAirfield
Indicates that a location or area includes at least one airfield within its boundaries.
-
D.
airfieldDefended
Indicates that defensive measures or forces are in place to protect an airfield from attack or unauthorized intrusion.
-
E.
hasAirfieldType
Indicates that an airfield is classified as having a particular type or category of airfield.
- 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_69c6995a72cc8190998e56daa6f8e453 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c70165e78c8190bf6b3c34e243cb81 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:03 p.m.