Triple

T6946812
Position Surface form Disambiguated ID Type / Status
Subject Swanston Street E160817 entity
Predicate hasCarRestrictions P33452 FINISHED
Object true 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: true | Statement: [Swanston Street, hasCarRestrictions, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCarRestrictions
Context triple: [Swanston Street, hasCarRestrictions, true]
  • A. hasLimitedRoadAccess
    Indicates that an entity can only be reached by a small number of roads, restricted routes, or otherwise constrained vehicular access.
  • B. hasSpeedRestriction
    Indicates that an entity is subject to a specified limit on its allowable speed.
  • C. transportRestriction chosen
    Indicates that there are limitations, prohibitions, or special conditions governing the use of a particular mode or means of transportation between entities.
  • D. hasDrivingConditions
    Indicates that a particular route, area, or time period is associated with specific driving conditions (such as weather, traffic, or road surface state) that affect how vehicles can be driven.
  • E. hasSpeedRestrictionReason
    Indicates the reason or cause for which a speed restriction has been imposed on an entity.
  • 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_69c68850419081909fb426b8f5a304c7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dacca12481908942ba793a104cc3 completed March 27, 2026, 7:30 p.m.
PD Predicate disambiguation batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:28 p.m.