Triple
T23123577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gold Coast Indy 300 |
E576963
|
entity |
| Predicate | approximateCircuitLength |
P151012
|
FINISHED |
| Object | 4.47 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: 4.47 km | Statement: [Gold Coast Indy 300, approximateCircuitLength, 4.47 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateCircuitLength Context triple: [Gold Coast Indy 300, approximateCircuitLength, 4.47 km]
-
A.
approximateCircuitLengthMi
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.
approximateRouteLength
Indicates the estimated total distance or length of a given route, rather than its exact measured value.
-
D.
minimumCircuitsRequired
Indicates the smallest number of circuits that must be present or used for a given system, configuration, or requirement to be satisfied.
-
E.
approximateLengthInMeters
Indicates the estimated or roughly measured length of something expressed in meters.
- F. None of above. chosen
Provenance (4 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e5299c08190a578102cf2ff7080 |
completed | April 29, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69ef89f020588190b43393e048e7eda3 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:59 p.m.