Triple

T22687611
Position Surface form Disambiguated ID Type / Status
Subject Anand Vihar Terminal E560958 entity
Predicate adjacentTo P224 FINISHED
Object Kaushambi (Ghaziabad) 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: Kaushambi (Ghaziabad) | Statement: [Anand Vihar Terminal, adjacentTo, Kaushambi (Ghaziabad)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaushambi (Ghaziabad)
Context triple: [Anand Vihar Terminal, adjacentTo, Kaushambi (Ghaziabad)]
  • A. Kaushambi chosen
    Kaushambi is a residential and commercial locality in the Ghaziabad region of the Delhi National Capital Region (NCR), known for its proximity to East Delhi and metro connectivity.
  • B. Ghaziabad
    Ghaziabad is a major industrial and residential city in the Indian state of Uttar Pradesh, forming part of the National Capital Region near Delhi.
  • C. Ghaziabad
    Ghaziabad is a village located in the scenic Jhelum Valley region of Azad Jammu and Kashmir, Pakistan.
  • D. Kannauj
    Kannauj is a historic town and parliamentary constituency in Uttar Pradesh, India, renowned for its ancient heritage and traditional perfume (attar) industry.
  • E. Ghazipur
    Ghazipur is a city in the Indian state of Uttar Pradesh, known for its historical significance and as a regional hub in eastern Uttar Pradesh.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178983fc8819080aa00e45ff77952 completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:13 p.m.