Triple

T8496773
Position Surface form Disambiguated ID Type / Status
Subject Civil Lines, Delhi E201117 entity
Predicate planningPattern P58411 FINISHED
Object bungalow-style plots with large compounds 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: bungalow-style plots with large compounds | Statement: [Civil Lines, Delhi, planningPattern, bungalow-style plots with large compounds]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: planningPattern
Context triple: [Civil Lines, Delhi, planningPattern, bungalow-style plots with large compounds]
  • A. hasPlanningPattern chosen
    Indicates that an entity follows or is associated with a particular planning pattern or structured approach to planning.
  • B. planningPolicy
    Indicates that one entity establishes or defines rules, guidelines, or strategies governing how another entity should plan or make planning-related decisions.
  • C. planningModelFor
    Indicates that one entity serves as a planning model used to guide, simulate, or structure the planning activities related to another entity.
  • D. planningSkill
    Indicates the degree to which an entity is capable of effectively organizing, sequencing, and coordinating actions or resources to achieve goals.
  • E. planning
    Indicates that an entity is engaged in organizing or devising a future action, event, or course of behavior involving another entity or 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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe57f8c508190b3a93ef180db9873 completed March 31, 2026, 3:17 p.m.
PD Predicate disambiguation batch_69cbd10a4b0881909e254117780dc823 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:13 p.m.