Triple

T14185629
Position Surface form Disambiguated ID Type / Status
Subject Heemraadlaan E351566 entity
Predicate hasElectronicGates P4365 FINISHED
Object yes 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: yes | Statement: [Heemraadlaan, hasElectronicGates, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasElectronicGates
Context triple: [Heemraadlaan, hasElectronicGates, yes]
  • A. hasFaregates
    Indicates that an entity is equipped with or contains faregates used to control or validate access, typically for paid entry.
  • B. hasCityGateFunction
    Indicates that something serves the role or function of a city gate, such as controlling access, passage, or boundary between a city and its surroundings.
  • C. hasCityGateRemains
    Indicates that a location contains surviving structural remains of a former city gate.
  • D. hasCityGateStatus
    Indicates the status or condition of a city gate in relation to a given entity.
  • E. hasGate chosen
    Indicates that one entity possesses, includes, or is equipped with a gate as part of its structure or configuration.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61cd5778819092a03597bcdcc182 completed April 14, 2026, 3:48 p.m.
PD Predicate disambiguation batch_69de05baed64819096590e5618a3a8ed completed April 14, 2026, 9:15 a.m.
Created at: April 10, 2026, 1:03 a.m.