Triple

T12159634
Position Surface form Disambiguated ID Type / Status
Subject Vasai Creek E289669 entity
Predicate flowsNear P350 FINISHED
Object Bhayandar E924088 NE 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: Bhayandar | Statement: [Vasai Creek, flowsNear, Bhayandar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhayandar
Context triple: [Vasai Creek, flowsNear, Bhayandar]
  • A. Vikhroli
    Vikhroli is a suburban neighborhood in Mumbai known for its residential areas, industrial estates, and proximity to major transport links.
  • B. Belapur
    Belapur is a major suburban node in Navi Mumbai, India, known for its commercial centers, residential areas, and role as a key transport hub.
  • C. Bhayandar West chosen
    Bhayandar West is a suburban locality in the Mira-Bhayandar region of Maharashtra, India, known for its residential neighborhoods and growing commercial activity.
  • D. Bhandup
    Bhandup is a suburban residential and industrial locality in the northeastern part of Mumbai, India.
  • E. Bhayandar East
    Bhayandar East is a suburban locality in the Mira-Bhayandar region of Maharashtra, India, known for its residential neighborhoods and growing urban infrastructure.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c277e481908351bf4e664dda42 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0cf61108190a15ab76454fc0d75 completed May 3, 2026, 9:40 p.m.
Created at: April 8, 2026, 9:50 p.m.