Triple
T7321965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donabate |
E168570
|
entity |
| Predicate | distanceToDublinCityCentre |
P26819
|
FINISHED |
| Object | approximately 20 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 20 kilometres | Statement: [Donabate, distanceToDublinCityCentre, approximately 20 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToDublinCityCentre Context triple: [Donabate, distanceToDublinCityCentre, approximately 20 kilometres]
-
A.
distanceFromDublinCityCentre_km
chosen
Indicates the physical distance, measured in kilometers, between an entity’s location and the center of Dublin city.
-
B.
directionFromDublinCityCentre
Indicates the compass direction or orientation of an entity relative to Dublin city centre.
-
C.
distanceToBelfast
Indicates the spatial distance between a given entity’s location and the city of Belfast.
-
D.
distanceToYorkCityCentre
Indicates the measured or specified distance between a given location and the centre of York city.
-
E.
directionFromCityCentre
Indicates the compass direction in which one location lies relative to the city centre.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6f041f4a88190b85cff1ee5f9a6d0 |
completed | March 27, 2026, 9:01 p.m. |
| PD | Predicate disambiguation | batch_69c6e7705f4881909793071dee50c557 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:03 p.m.