Triple
T30181657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alnmouth railway station |
E767216
|
entity |
| Predicate | lineDistanceFromNewcastle |
P111976
|
FINISHED |
| Object | approximately 72 km |
—
|
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 72 km | Statement: [Alnmouth railway station, lineDistanceFromNewcastle, approximately 72 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineDistanceFromNewcastle Context triple: [Alnmouth railway station, lineDistanceFromNewcastle, approximately 72 km]
-
A.
distanceFromNewcastle
Indicates the spatial distance between a given entity or location and the city of Newcastle.
-
B.
distanceToNewcastle_km
chosen
Indicates the physical distance, measured in kilometers, between a given location and Newcastle.
-
C.
distanceFromNewcastleCBD_km
Indicates the physical distance, measured in kilometers, between an entity and the central business district (CBD) of Newcastle.
-
D.
directionFromNewcastle
Indicates the compass direction or relative bearing of one place or object when measured starting from Newcastle as the reference point.
-
E.
lineDistanceFromLondonKingsCross
Indicates the distance along a route or line measured from London Kings Cross as the reference starting point.
- 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_69f2247cc3d88190811dec3face94bf5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67f419e088190ba19a6ab9465d951 |
completed | May 2, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:26 p.m.