Triple

T516604
Position Surface form Disambiguated ID Type / Status
Subject Uttar Pradesh E10722 entity
Predicate hasMajorCity P316 FINISHED
Object Noida E78949 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: Noida | Statement: [Uttar Pradesh, hasMajorCity, Noida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noida
Context triple: [Uttar Pradesh, hasMajorCity, Noida]
  • A. Noida chosen
    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.
  • B. Gurugram
    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.
  • C. 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.
  • D. Meerut
    Meerut is a historic city in the Indian state of Uttar Pradesh, known as the place where the Indian Rebellion of 1857 first erupted against British colonial rule.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f184c3a481909bf60bb627b0ea88 completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66660d36481909b938cf569337df9 completed March 3, 2026, 4:41 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.