Triple
T8374409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RAF Hethel |
E197539
|
entity |
| Predicate | hasRunwaysLayout |
P15146
|
FINISHED |
| Object | three-runway A‑shaped pattern |
—
|
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: three-runway A‑shaped pattern | Statement: [RAF Hethel, hasRunwaysLayout, three-runway A‑shaped pattern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRunwaysLayout Context triple: [RAF Hethel, hasRunwaysLayout, three-runway A‑shaped pattern]
-
A.
hasRunwayCount
Indicates the number of runways that a given entity (such as an airport) possesses.
-
B.
hasRunwayMarkings
Indicates that a runway possesses specific painted markings or symbols on its surface.
-
C.
hasRunwayConfiguration
chosen
Indicates a specific arrangement or setup of runways associated with an airport, airfield, or similar facility.
-
D.
hasRunwayOrientation
Indicates that a runway is aligned or oriented in a specific directional heading.
-
E.
hasRunwayType
Indicates that an airport or airfield has a runway of a specified type or surface classification.
- 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80a996ec819083ce2607c0cdab7f |
completed | March 31, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69cb70cd04b08190ab5f72afd22a7967 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:01 p.m.