Triple
T20874615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Markethill, County Armagh, Northern Ireland |
E513985
|
entity |
| Predicate | distanceTo Armagh |
P142204
|
FINISHED |
| Object | approximately 10 miles |
—
|
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 10 miles | Statement: [Markethill, County Armagh, Northern Ireland, distanceTo Armagh, approximately 10 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceTo Armagh Context triple: [Markethill, County Armagh, Northern Ireland, distanceTo Armagh, approximately 10 miles]
-
A.
distanceToBelfast
Indicates the spatial distance between a given entity’s location and the city of Belfast.
-
B.
distanceFromEnniskillen
Indicates the spatial distance between a given entity and the location of Enniskillen.
-
C.
distanceFromGalway
Indicates the spatial distance separating an entity from the location of Galway.
-
D.
distanceToColeraine
Indicates the spatial distance between a given location or entity and the place named Coleraine.
-
E.
distanceFromCorkCity
Indicates the spatial distance between a given place and Cork City.
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c674075081909e0819b20bdbb7f4 |
completed | April 21, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:45 p.m.