Triple

T4622137
Position Surface form Disambiguated ID Type / Status
Subject Auckland Harbour Bridge E101009 entity
Predicate laneManagement P18246 FINISHED
Object tidal flow system 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: tidal flow system | Statement: [Auckland Harbour Bridge, laneManagement, tidal flow system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laneManagement
Context triple: [Auckland Harbour Bridge, laneManagement, tidal flow system]
  • A. trafficManagementStrategy
    Indicates a method or plan used to control, organize, or optimize the flow of traffic within a transportation system.
  • B. facilitatesTrafficFlowBetween
    Indicates that one entity enables, supports, or improves the movement of traffic between two other entities or locations.
  • C. fareControl
    Indicates that an entity is responsible for monitoring, enforcing, or managing payment of fares for access to a service or facility.
  • D. hasTrafficManagement chosen
    Indicates that an entity implements, uses, or is associated with systems or measures for controlling and optimizing traffic flow.
  • E. laneCount
    Indicates the number of parallel lanes associated with a given road or roadway segment.
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a0374308190aeaffc9d866a3742 completed March 20, 2026, 2:30 p.m.
PD Predicate disambiguation batch_69bd5231db7c8190b38d4fdbad8bf842 completed March 20, 2026, 1:57 p.m.
Created at: March 20, 2026, 1:12 p.m.