Triple
T9963828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great North of Scotland Railway |
E195631
|
entity |
| Predicate | railwayLength |
P77732
|
FINISHED |
| Object | about 333 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: about 333 miles | Statement: [Great North of Scotland Railway, railwayLength, about 333 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayLength Context triple: [Great North of Scotland Railway, railwayLength, about 333 miles]
-
A.
railwayLineLength
chosen
Indicates the total measured length of a railway line.
-
B.
railwayLine
Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
-
C.
numberOfRailLines
Indicates the total count of rail lines associated with or serving a given entity.
-
D.
rollingStockLength
Indicates the length measurement of a piece of rolling stock in a rail or transit system.
-
E.
mainStraightLengthKm
Indicates the length, measured in kilometers, of the primary straight segment associated with the entity.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb71a33b48190a18c1a9023f249d2 |
completed | April 2, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9ae19c819099fb3635e57c79be |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:47 p.m.