Triple
T15051462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macroom |
E379370
|
entity |
| Predicate | distanceFromKillarney |
P116544
|
FINISHED |
| Object | approximately 48 km east |
—
|
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 48 km east | Statement: [Macroom, distanceFromKillarney, approximately 48 km east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromKillarney Context triple: [Macroom, distanceFromKillarney, approximately 48 km east]
-
A.
distanceFromCorkCity
Indicates the spatial distance between a given place and Cork City.
-
B.
distanceFromEnniskillen
Indicates the spatial distance between a given entity and the location of Enniskillen.
-
C.
distanceFromDublinCityCentre_km
Indicates the physical distance, measured in kilometers, between an entity’s location and the center of Dublin city.
-
D.
distanceToBelfast
Indicates the spatial distance between a given entity’s location and the city of Belfast.
-
E.
distanceToBallinaTownCentre
Indicates the measured distance between a given location and the centre of Ballina town.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda90b9948190a0d71de0b23188da |
completed | April 15, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69de9a69d7848190b2b4662dd30f20e9 |
completed | April 14, 2026, 7:50 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 3:01 a.m.