Triple
T31796162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alstonville |
E811601
|
entity |
| Predicate | distanceToBallina_km |
P97818
|
FINISHED |
| Object | approximately 13 |
—
|
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 13 | Statement: [Alstonville, distanceToBallina_km, approximately 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToBallina_km Context triple: [Alstonville, distanceToBallina_km, approximately 13]
-
A.
distanceToBallinaTownCentre
chosen
Indicates the measured distance between a given location and the centre of Ballina town.
-
B.
distanceToBallater
Indicates the measured distance between a given location or entity and the place named Ballater.
-
C.
distanceToDrogheda_km
Indicates the distance, measured in kilometers, between a given place or object and Drogheda.
-
D.
distanceToBallymoney
Indicates the spatial distance between a given entity’s location and the town of Ballymoney.
-
E.
distanceToTullamore_km
Indicates the physical distance, measured in kilometers, between a given location and Tullamore.
- 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_69f348e60748819082dcaa7792659803 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a02206665508190ae2324d253ccf377 |
completed | May 11, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_6a021fdc6e54819082847bedd97a680b |
completed | May 11, 2026, 6:28 p.m. |
Created at: April 30, 2026, 11:40 p.m.