Triple
T11198516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballina Byron Gateway Airport |
E264980
|
entity |
| Predicate | distanceToBallinaTownCentre |
P97818
|
FINISHED |
| Object | approximately 5 kilometres |
—
|
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: approximately 5 kilometres | Statement: [Ballina Byron Gateway Airport, distanceToBallinaTownCentre, approximately 5 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToBallinaTownCentre Context triple: [Ballina Byron Gateway Airport, distanceToBallinaTownCentre, approximately 5 kilometres]
-
A.
distanceFromDublinCityCentre_km
Indicates the physical distance, measured in kilometers, between an entity’s location and the center of Dublin city.
-
B.
distanceToWokingTownCentre
Indicates the spatial distance between a given location and the center of Woking town.
-
C.
distanceToAlloa
Indicates the spatial distance between a given entity and the location Alloa.
-
D.
distanceToBelfast
Indicates the spatial distance between a given entity’s location and the city of Belfast.
-
E.
distanceToBradfordCityCentre
Indicates the spatial distance between a given location and the centre of Bradford city.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8c1e9f88190b2b42326aba9d778 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf83464819087529d47d025d313 |
completed | April 9, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69d77062271c8190b63da714ab5beff9 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:29 p.m.