Triple

T1410365
Position Surface form Disambiguated ID Type / Status
Subject Aravalli Range E31788 entity
Predicate passesNear P416 FINISHED
Object Gurugram 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: Gurugram | Statement: [Aravalli Range, passesNear, Gurugram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gurugram
Context triple: [Aravalli Range, passesNear, Gurugram]
  • 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. Noida
    Noida is a major planned city and technology hub in the National Capital Region near Delhi, known for its modern infrastructure, IT parks, and residential developments.
  • C. Faridabad
    Faridabad is a major industrial city in northern India known for its manufacturing sector and its location within the National Capital Region near New Delhi.
  • D. West Delhi
    West Delhi is an administrative district in the western part of India’s National Capital Territory of Delhi, known for its dense residential neighborhoods and bustling commercial areas.
  • E. Delhi
    Delhi is a major metropolitan region and the capital territory of India, known for its political significance, rich history, and diverse culture.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3e0bfd08190a50820bc7585c28f completed March 1, 2026, 10:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69aea82191408190892e9a8e12504a8f completed March 9, 2026, 10:59 a.m.
Created at: March 1, 2026, 7:59 p.m.