Triple

T8496758
Position Surface form Disambiguated ID Type / Status
Subject Civil Lines, Delhi E201117 entity
Predicate nearbyLocality P4647 FINISHED
Object Old Delhi E470398 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: Old Delhi | Statement: [Civil Lines, Delhi, nearbyLocality, Old Delhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Delhi
Context triple: [Civil Lines, Delhi, nearbyLocality, Old Delhi]
  • A. Old Delhi chosen
    Old Delhi is the historic walled quarter of India’s capital, renowned for its Mughal-era architecture, bustling markets, and narrow, crowded streets.
  • B. Agra
    Agra is a historic city in northern India renowned for its Mughal-era architecture, most notably the Taj Mahal and Agra Fort.
  • C. Delhi
    Delhi is a major metropolitan region and the capital territory of India, known for its political significance, rich history, and diverse culture.
  • D. North Delhi
    North Delhi is an administrative district in the northern part of India’s capital region, known for its dense urban neighborhoods, educational institutions, and historical sites.
  • E. 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.
  • 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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe57f8c508190b3a93ef180db9873 completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d120f8c819088a1d9b23b621939 completed April 2, 2026, 1:20 p.m.
Created at: March 30, 2026, 6:13 p.m.