Triple
T35398671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ross Castle |
E1023156
|
entity |
| Predicate | distanceFromKillarneyTown |
P116544
|
FINISHED |
| Object | about 2 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: about 2 kilometres | Statement: [Ross Castle, distanceFromKillarneyTown, about 2 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromKillarneyTown Context triple: [Ross Castle, distanceFromKillarneyTown, about 2 kilometres]
-
A.
distanceFromKillarney
chosen
Indicates the measured distance between a given entity and the location of Killarney.
-
B.
distanceFromKilkennyCity
Indicates the spatial distance between an entity and Kilkenny City.
-
C.
distanceToCarlowTown_km
Indicates the distance, measured in kilometers, between a given place and Carlow Town.
-
D.
distanceToTullamore_km
Indicates the physical distance, measured in kilometers, between a given location and Tullamore.
-
E.
distanceFromEnniskillen
Indicates the spatial distance between a given entity and the location of Enniskillen.
- 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_69f76df43ca4819098711ca4370f1bb9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:03 p.m.