Triple

T3024043
Position Surface form Disambiguated ID Type / Status
Subject National Capital Region of India E82532 entity
Predicate hasPlanningObjective P1415 FINISHED
Object coordinated land use planning 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: coordinated land use planning | Statement: [National Capital Region of India, hasPlanningObjective, coordinated land use planning]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlanningObjective
Context triple: [National Capital Region of India, hasPlanningObjective, coordinated land use planning]
  • A. hasPlanningStatus
    Indicates that an entity is associated with a particular stage, condition, or outcome in a planning or approval process.
  • B. hasPrimaryGoal chosen
    Indicates that an entity’s main or most important objective is the specified goal.
  • C. hasOperationalGoal
    Indicates that an entity is associated with a specific objective or target it aims to achieve through its operations or activities.
  • D. hasPlanningCharacteristic
    Indicates that an entity possesses a specific feature, quality, or attribute related to planning activities or processes.
  • E. hasPlanningLevel
    Indicates that an entity is associated with a specific stage, tier, or granularity within a planning or scheduling hierarchy.
  • 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_69ad8b1fb34081908c1b873e2b7273e1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9abac0288190a30b42674eea501f completed March 8, 2026, 3:50 p.m.
PD Predicate disambiguation batch_69ad961c430c8190ac48f2e3c7e7c649 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 3 p.m.