Triple

T13168220
Position Surface form Disambiguated ID Type / Status
Subject Noida–Greater Noida Expressway E312907 entity
Predicate hasAdjacentDevelopment P79682 FINISHED
Object IT and office complexes in Noida 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: IT and office complexes in Noida | Statement: [Noida–Greater Noida Expressway, hasAdjacentDevelopment, IT and office complexes in Noida]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAdjacentDevelopment
Context triple: [Noida–Greater Noida Expressway, hasAdjacentDevelopment, IT and office complexes in Noida]
  • A. hasNearbyDevelopment chosen
    Indicates that a development or construction project exists in close physical proximity to the referenced entity.
  • B. hasNearbyDevelopmentCorridor
    Indicates that an entity is located close to, or directly influenced by, a designated development corridor such as a planned or existing zone of concentrated growth or infrastructure.
  • C. hasNeighboringBuilding
    Indicates that one building is located adjacent to or directly next to another building.
  • D. hasAdjacentSettlement
    Indicates that one settlement is located directly next to or bordering another settlement.
  • E. developedAlong
    Indicates that something was created, constructed, or evolved following the course, path, or boundary of something else.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf054f88190b05ced98d5a22a62 completed April 10, 2026, 11:51 p.m.
PD Predicate disambiguation batch_69d98bc2c0c88190be357811aa8e828d completed April 10, 2026, 11:46 p.m.
Created at: April 9, 2026, 9:13 p.m.