Triple
T21132366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corby railway station |
E520719
|
entity |
| Predicate | lineDistanceFromStPancras |
P71653
|
FINISHED |
| Object | approximately 115 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 115 km | Statement: [Corby railway station, lineDistanceFromStPancras, approximately 115 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineDistanceFromStPancras Context triple: [Corby railway station, lineDistanceFromStPancras, approximately 115 km]
-
A.
distanceFromStPancras
chosen
Indicates the spatial distance between an entity and St Pancras.
-
B.
distanceFromLiverpoolStreet
Indicates the measured distance between a given location and Liverpool Street.
-
C.
distanceFromFlindersStreet
Indicates the spatial distance between a given location and Flinders Street.
-
D.
distanceFromPennStation
Indicates the physical distance between a given location and Penn Station.
-
E.
distanceFromSouthStation
Indicates the measured distance between a given location or entity and South Station.
- 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723574b1481909fe9bebc83f1f3ce |
completed | April 21, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69e5f5ed6c8c8190b31092a5d4c3de5d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:56 p.m.