Triple
T36119848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gold Coast street circuit round |
E1044712
|
entity |
| Predicate | approximateTrackLength |
P134623
|
FINISHED |
| Object | about 2.96 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: about 2.96 km | Statement: [Gold Coast street circuit round, approximateTrackLength, about 2.96 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateTrackLength Context triple: [Gold Coast street circuit round, approximateTrackLength, about 2.96 km]
-
A.
approximateLengthInMeters
Indicates the estimated or roughly measured length of something expressed in meters.
-
B.
approximateRaceLength
Indicates that one entity specifies an estimated or rough value for the length or distance of a race associated with another entity.
-
C.
lapLengthOfTrack
chosen
Indicates the distance or length of a single lap around a track.
-
D.
longitudAproximada
Indicates an approximate measurement of the length of something, rather than its exact value.
-
E.
rangeLengthApprox
Indicates that the length or extent of a range is approximately equal to a specified value, allowing for some tolerance or imprecision.
- 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_69f76e356c908190abc6ca1e6a05b011 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff7c96e6dc8190b89554480ebcea39 |
completed | May 9, 2026, 6:27 p.m. |
| PD | Predicate disambiguation | batch_69ff7c2381748190ad9a2176e0e478cd |
completed | May 9, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:08 p.m.