Triple
T27786775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slemish Mountain |
E700981
|
entity |
| Predicate | distanceFromBallymena |
P200512
|
FINISHED |
| Object | approximately 8 miles 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 8 miles east | Statement: [Slemish Mountain, distanceFromBallymena, approximately 8 miles east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromBallymena Context triple: [Slemish Mountain, distanceFromBallymena, approximately 8 miles east]
-
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.
distanceToDungannon_km
Indicates the distance, measured in kilometers, between a given entity’s location and Dungannon.
-
D.
distanceToDrogheda_km
Indicates the distance, measured in kilometers, between a given place or object and Drogheda.
-
E.
distanceToColeraine
Indicates the spatial distance between a given location or entity and the place named Coleraine.
- 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_69ef6a50d8088190acbf3dfbb06d8091 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69ff9361943c81909544203cbc998a69 |
completed | May 9, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69ff913138a08190b59bdc9d8d199eb3 |
completed | May 9, 2026, 7:55 p.m. |
| PDg | Predicate description generation | batch_69ff935f48808190aa6f4834f59d45b8 |
completed | May 9, 2026, 8:04 p.m. |
Created at: April 27, 2026, 5:25 p.m.