Triple

T2360387
Position Surface form Disambiguated ID Type / Status
Subject Jamuna E47257 entity
Predicate flowsThrough P225 FINISHED
Object Delhi E79579 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: Delhi | Statement: [Jamuna, flowsThrough, Delhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Delhi
Context triple: [Jamuna, flowsThrough, Delhi]
  • A. Delhi chosen
    Delhi is a major metropolitan region and the capital territory of India, known for its political significance, rich history, and diverse culture.
  • B. 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.
  • C. Chandigarh
    Chandigarh is a planned city in northern India, renowned for its modernist architecture and urban design largely conceived by the Swiss-French architect Le Corbusier.
  • D. 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.
  • E. New Delhi, India
    New Delhi, India is the capital city of India, serving as the nation’s political and administrative center and home to key government institutions and historic landmarks.
  • 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc722ac3c819091f4316a4a166a77 completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae95d2a03881908433209da4af73a2 completed March 9, 2026, 9:41 a.m.
Created at: March 4, 2026, 7:55 p.m.