Triple
T8360961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catterick Racecourse |
E197004
|
entity |
| Predicate | hasApproximateCircuitLength |
P27051
|
FINISHED |
| Object | about 1 mile |
—
|
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 1 mile | Statement: [Catterick Racecourse, hasApproximateCircuitLength, about 1 mile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateCircuitLength Context triple: [Catterick Racecourse, hasApproximateCircuitLength, about 1 mile]
-
A.
approximateCircuitLengthMi
chosen
Indicates the approximate total length of a circuit, measured in miles.
-
B.
circuitLength
Indicates the total measured length or distance of a circuit or closed path.
-
C.
hasTunnelLengthApprox
Indicates that an entity has a tunnel whose length is approximately a specified value.
-
D.
approximateLengthInMeters
Indicates the estimated or roughly measured length of something expressed in meters.
-
E.
approximateRouteLength
Indicates the estimated total distance or length of a given route, rather than its exact measured value.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80728eb081909bae6aae45848fab |
completed | March 31, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6 p.m.