Triple
T18020635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inner and Outer Hebrides air network |
E431107
|
entity |
| Predicate | hasLandingType |
P118651
|
FINISHED |
| Object | conventional runway landings |
—
|
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: conventional runway landings | Statement: [Inner and Outer Hebrides air network, hasLandingType, conventional runway landings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLandingType Context triple: [Inner and Outer Hebrides air network, hasLandingType, conventional runway landings]
-
A.
hasLandingConditions
Indicates the specific conditions or requirements that must be met for a landing to occur or be permitted.
-
B.
hasLandingCharacteristics
chosen
Indicates that an entity possesses specific attributes or features related to how it lands or is capable of landing.
-
C.
hasIslandLanding
Indicates that an entity includes or provides a designated landing area or facility located on an island.
-
D.
hasLandingSystem
Indicates that an entity is equipped with or utilizes a particular landing system for performing landings.
-
E.
hasLandComponent
Indicates that something includes, consists of, or is associated with a land-based part or portion as one of its components.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c1c5f88190a059ce4f86f7ed36 |
completed | April 19, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69e3f904b8048190add43883cd7cb191 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:24 a.m.