Triple

T34247649
Position Surface form Disambiguated ID Type / Status
Subject urban monument reservation E878641 entity
Predicate appliesLevelOfControlTo P189600 FINISHED
Object urban development 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: urban development | Statement: [urban monument reservation, appliesLevelOfControlTo, urban development]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesLevelOfControlTo
Context triple: [urban monument reservation, appliesLevelOfControlTo, urban development]
  • A. scopeOfControl
    Indicates the extent or range within which an entity has authority, influence, or control over another entity or set of entities.
  • B. degreeOfControl chosen
    Indicates the extent to which one entity can direct, influence, or determine the behavior, decisions, or outcomes of another entity or process.
  • C. recognizedControlOf
    Indicates that one entity has formally acknowledged and accepted another entity’s authority or control over something.
  • D. exertsControlOver
    Indicates that one entity has the power or authority to direct, influence, or determine the actions or decisions of another entity.
  • E. centralizesControlOf
    Indicates that one entity consolidates and concentrates decision-making authority or governance power over another entity or set of entities.
  • 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_69f349b3618481909df955b063f305b2 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69ff246e0d4481908bcec718e1d4025b completed May 9, 2026, 12:11 p.m.
PD Predicate disambiguation batch_69ff23cb70ac81909b776ace4597ae9c completed May 9, 2026, 12:08 p.m.
Created at: May 1, 2026, 1:56 a.m.