Triple

T6850693
Position Surface form Disambiguated ID Type / Status
Subject Albert Park Circuit E158006 entity
Predicate approximateLengthKm P33049 FINISHED
Object 5.278 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: 5.278 | Statement: [Albert Park Circuit, approximateLengthKm, 5.278]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approximateLengthKm
Context triple: [Albert Park Circuit, approximateLengthKm, 5.278]
  • A. navigableLengthApproxKm
    Indicates the approximate distance, measured in kilometers, over which something (typically a waterway) can be navigated.
  • B. lengthInKm chosen
    Indicates that one entity specifies the length or distance of another entity measured in kilometers.
  • C. trackLengthApproxKm
    Indicates that one entity has an approximate track length, measured in kilometers, associated with it.
  • D. approximateDistanceKm
    Indicates the estimated distance between two entities measured in kilometers, typically with some degree of inaccuracy or approximation.
  • E. approximateLengthInMiles
    Indicates the estimated distance or extent of something measured in miles.
  • 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d84c45708190918adfc028252400 completed March 27, 2026, 7:19 p.m.
PD Predicate disambiguation batch_69c6d0a12834819097d7e6c0b823745e completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:20 p.m.