Triple

T16527827
Position Surface form Disambiguated ID Type / Status
Subject Mani Kaul E401485 entity
Predicate placeOfDeath P21 FINISHED
Object Gurgaon, Haryana, India E78440 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: Gurgaon, Haryana, India | Statement: [Mani Kaul, placeOfDeath, Gurgaon, Haryana, India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gurgaon, Haryana, India
Context triple: [Mani Kaul, placeOfDeath, Gurgaon, Haryana, India]
  • A. Gurugram chosen
    Gurugram is a major financial and technology hub in the Indian state of Haryana, known for its modern skyline, multinational corporate offices, and proximity to New Delhi.
  • B. Manesar
    Manesar is an industrial and residential township in Haryana, India, known for its manufacturing hubs and proximity to Gurgaon and Delhi.
  • C. Kharghar
    Kharghar is a rapidly developing residential and commercial node in Navi Mumbai, Maharashtra, known for its planned infrastructure and connectivity to Mumbai via the suburban railway network.
  • D. Noida Sector 51
    Noida Sector 51 is a metro station in Noida, Uttar Pradesh, that serves as a key transit point on the Noida Metro network and an interchange hub with the Delhi Metro system.
  • E. Noida Sector 101
    Noida Sector 101 is a metro station in Noida, Uttar Pradesh, India, serving residential and commercial areas along the Noida Metro’s Aqua Line.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed57be481908625d4c5aab0940c completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00608efd0c81908e64419bd74eb285 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:14 a.m.