Triple
T24341928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newcastle West |
E613533
|
entity |
| Predicate | distanceFromLimerickCity |
P122851
|
FINISHED |
| Object | approximately 42 kilometres southwest |
—
|
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 42 kilometres southwest | Statement: [Newcastle West, distanceFromLimerickCity, approximately 42 kilometres southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromLimerickCity Context triple: [Newcastle West, distanceFromLimerickCity, approximately 42 kilometres southwest]
-
A.
distanceFromLimerick
chosen
Indicates the spatial distance between an entity and the location of Limerick.
-
B.
distanceFromKilkennyCity
Indicates the spatial distance between an entity and Kilkenny City.
-
C.
distanceFromCorkCity
Indicates the spatial distance between a given place and Cork City.
-
D.
distanceFromGalway
Indicates the spatial distance separating an entity from the location of Galway.
-
E.
distanceFromKillarney
Indicates the measured distance between a given entity and the location of Killarney.
- 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2932511908190993ed984fdc4c739 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:57 a.m.