Triple

T21073017
Position Surface form Disambiguated ID Type / Status
Subject Nizamuddin Bridge, Delhi E519155 entity
Predicate locatedNear P294 FINISHED
Object Sarai Kale Khan 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: Sarai Kale Khan | Statement: [Nizamuddin Bridge, Delhi, locatedNear, Sarai Kale Khan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarai Kale Khan
Context triple: [Nizamuddin Bridge, Delhi, locatedNear, Sarai Kale Khan]
  • A. Sarai Kale Khan chosen
    Sarai Kale Khan is a locality and major bus terminal area in Delhi, India, known as a key intercity transport hub.
  • B. Nilofer Khan
    Nilofer Khan is an Indian academic and administrator who became the first woman to serve as Vice-Chancellor of the University of Kashmir.
  • C. Sarai Alamgir
    Sarai Alamgir is a town in Punjab, Pakistan, situated along the Jhelum River and known for its strategic location on the historic Grand Trunk Road.
  • D. Bilquis Hyder
    Bilquis Hyder is a central female character in Salman Rushdie’s novel "Shame," embodying themes of power, tradition, and the complexities of Pakistani society.
  • E. Sara Begum
    Sara Begum was one of the wives of Mirza Basheer-ud-Din Mahmood Ahmad, the second Caliph and a prominent leader of the Ahmadiyya Muslim Community.
  • 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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702d491a08190a9f5f28c0b72d38c completed April 21, 2026, 4:53 a.m.
Created at: April 16, 2026, 2:47 p.m.