Triple

T29434252
Position Surface form Disambiguated ID Type / Status
Subject Dankaur E746522 entity
Predicate hasNearbyUrbanProject P79682 FINISHED
Object Yamuna Expressway Industrial Development Authority area NE NERFINISHED

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: Yamuna Expressway Industrial Development Authority area | Statement: [Dankaur, hasNearbyUrbanProject, Yamuna Expressway Industrial Development Authority area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNearbyUrbanProject
Context triple: [Dankaur, hasNearbyUrbanProject, Yamuna Expressway Industrial Development Authority area]
  • A. hasNearbyProject
    Indicates that one entity has a project located within a close or specified proximity to another entity or reference point.
  • B. isPartOfUrbanProject
    Indicates that something belongs to, is included within, or constitutes a component of a broader urban development project.
  • C. hasNearbyDevelopment chosen
    Indicates that a development or construction project exists in close physical proximity to the referenced entity.
  • D. hasUrbanProximity
    Indicates that one entity is located near or within easy access to an urban area associated with another entity.
  • E. nearbyProject
    Indicates that one entity is located close to or in the immediate vicinity of another entity or project.
  • 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_69f0a7a180e48190ae775e40047dbcb5 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69fe2f078c24819082ba396b56f02808 completed May 8, 2026, 6:44 p.m.
PD Predicate disambiguation batch_69fe228fe1988190baf3bb34897f3dbe completed May 8, 2026, 5:51 p.m.
Created at: April 28, 2026, 3:15 p.m.