Triple

T37313422
Position Surface form Disambiguated ID Type / Status
Subject Deonar dumping ground E926265 entity
Predicate hasProposedPlan P10988 FINISHED
Object closure and remediation 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: closure and remediation | Statement: [Deonar dumping ground, hasProposedPlan, closure and remediation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProposedPlan
Context triple: [Deonar dumping ground, hasProposedPlan, closure and remediation]
  • A. hasProposed
    Indicates that one entity has formally suggested or put forward something (such as an idea, plan, or offer) to another entity for consideration or acceptance.
  • B. hasProposal
    Indicates that an entity possesses, is associated with, or is the subject of a specific proposal.
  • C. hasProposedResolution
    Indicates that an entity has put forward a specific resolution or solution for consideration or decision regarding another entity or issue.
  • D. hasPlan chosen
    Indicates that an entity possesses or is associated with a specific plan or course of action.
  • E. hasPlanningStatus
    Indicates that an entity is associated with a particular stage, condition, or outcome in a planning or approval process.
  • 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_69f76eb28af88190b093b32e3fd614ab completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a11efc08190bb7cacc1325b4dc6 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:16 p.m.