Triple

T470348
Position Surface form Disambiguated ID Type / Status
Subject Brouwersgracht E8540 entity
Predicate hasTransportFunction P13380 FINISHED
Object local water traffic 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: local water traffic | Statement: [Brouwersgracht, hasTransportFunction, local water traffic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTransportFunction
Context triple: [Brouwersgracht, hasTransportFunction, local water traffic]
  • A. usesTransport
    Indicates that an entity employs or relies on a particular mode or means of transportation to move from one place to another.
  • B. hasTransportRoute
    Indicates that there exists a designated transportation connection or route linking one entity to another.
  • C. hasTransportAuthority
    Indicates that one entity holds official power or responsibility to manage, regulate, or oversee transportation services or infrastructure for another entity or area.
  • D. hasTransportHub
    Indicates that a location contains or serves as a central facility where multiple transport routes or modes connect for passenger or cargo movement.
  • E. hasGroundTransportation
    Indicates that an entity provides, includes, or is connected to transportation services or options that operate on land (e.g., cars, buses, trains).
  • 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_69a2e7f3aeb48190a19453e3a043f486 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efef8b788190857ebf66df562d59 completed Feb. 28, 2026, 1:38 p.m.
PD Predicate disambiguation batch_69a2edecefb081908331ef8b9edf6636 completed Feb. 28, 2026, 1:30 p.m.
PDg Predicate description generation batch_69a2eeba8a488190986cc7381332f783 completed Feb. 28, 2026, 1:33 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.