Triple
T1140365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 170 |
E23435
|
entity |
| Predicate | carLength |
P3491
|
FINISHED |
| Object | 23 metres (approximate) |
—
|
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: 23 metres (approximate) | Statement: [British Rail Class 170, carLength, 23 metres (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carLength Context triple: [British Rail Class 170, carLength, 23 metres (approximate)]
-
A.
hasCarLength
chosen
Indicates that an entity is associated with a specific measurement representing the length of a car.
-
B.
rollingStockLength
Indicates the length measurement of a piece of rolling stock in a rail or transit system.
-
C.
aircraftLength
Indicates the physical longitudinal measurement of an aircraft from its nose to its tail.
-
D.
naveLength
Indicates the length measurement of a building’s nave, typically from the entrance to the chancel or crossing.
-
E.
trailLengthApprox
Indicates an approximate measurement of the total length of a trail.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bde18d208190848c189b2b8d585f |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4b52d48190bec2e7ad1cc8efc0 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.