Triple

T1578380
Position Surface form Disambiguated ID Type / Status
Subject Chicago Metropolitan Agency for Planning E33704 entity
Predicate hasPlanningHorizon P10988 FINISHED
Object long-range 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: long-range | Statement: [Chicago Metropolitan Agency for Planning, hasPlanningHorizon, long-range]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlanningHorizon
Context triple: [Chicago Metropolitan Agency for Planning, hasPlanningHorizon, long-range]
  • A. hasPlanningStatus
    Indicates that an entity is associated with a particular stage, condition, or outcome in a planning or approval process.
  • B. hasPlan chosen
    Indicates that an entity possesses or is associated with a specific plan or course of action.
  • C. hasGlobalPlan
    Indicates that an entity possesses or is associated with an overarching, comprehensive plan that applies at a global or system-wide level.
  • D. hasEventHorizon
    Indicates that an object possesses an event horizon, a boundary beyond which events cannot affect an outside observer.
  • E. plannedUnder
    Indicates that one entity has been scheduled, organized, or arranged to occur within the scope, authority, or framework of another 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a96083e7308190abbf025fe8e43abb completed March 5, 2026, 10:52 a.m.
PD Predicate disambiguation batch_69a907ba63c88190b60c14dec8d1e40f completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:27 p.m.