Triple
T19418768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barraigh |
E485788
|
entity |
| Predicate | airportFeature |
P135806
|
FINISHED |
| Object | beach runway |
—
|
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: beach runway | Statement: [Barraigh, airportFeature, beach runway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airportFeature Context triple: [Barraigh, airportFeature, beach runway]
-
A.
aircraftFacility
Indicates that a facility is designed, equipped, or used to support the operation, maintenance, or accommodation of aircraft.
-
B.
airportStation
Indicates a location functions as an airport facility where air transport operations occur.
-
C.
airportRole
Indicates that an entity serves a specific functional role or capacity within the context of an airport.
-
D.
airportTypePresent
Indicates that a specific type or category of airport is present or exists in relation to the referenced entity.
-
E.
airportUse
Indicates that an airport is used or utilized by a particular entity, such as an airline, organization, or service.
- F. None of above. chosen
Provenance (4 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62afbaf0c8190913eda4b04efbe67 |
completed | April 20, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69e4fd68b1f881908d273de1fee81a75 |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:37 p.m.