Triple
T10804284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naas |
E254923
|
entity |
| Predicate | distanceFromDublin |
P26819
|
FINISHED |
| Object | approximately 32 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 32 kilometres | Statement: [Naas, distanceFromDublin, approximately 32 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromDublin Context triple: [Naas, distanceFromDublin, approximately 32 kilometres]
-
A.
distanceFromDublinCityCentre_km
chosen
Indicates the physical distance, measured in kilometers, between an entity’s location and the center of Dublin city.
-
B.
distanceToBelfast
Indicates the spatial distance between a given entity’s location and the city of Belfast.
-
C.
directionFromDublinCityCentre
Indicates the compass direction or orientation of an entity relative to Dublin city centre.
-
D.
distanceFromReykjavík
Indicates the spatial distance between an entity’s location and the city of Reykjavík.
-
E.
distanceFromGiantCauseway
Indicates the measured distance between an entity and the Giant's Causeway.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73370e7388190885b104fc883456e |
completed | April 9, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69d6f3188f00819094ee8d65b187a333 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:18 p.m.