Triple

T17422692
Position Surface form Disambiguated ID Type / Status
Subject Lal Qila E423656 entity
Predicate locatedIn P40 FINISHED
Object Old Delhi NE NERFINISHED

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: [Lal Qila, locatedIn, Old Delhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Delhi
Context triple: [Lal Qila, locatedIn, 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. INS Delhi
    INS Delhi is an Indian Navy guided-missile destroyer that originally served in the Royal Navy as HMS Achilles before being transferred and renamed.
  • C. Agra
    Agra is a historic city in northern India renowned for its Mughal-era architecture, most notably the Taj Mahal and Agra Fort.
  • D. Delhi
    Delhi is a major metropolitan region and the capital territory of India, known for its political significance, rich history, and diverse culture.
  • E. Subah of Delhi
    The Subah of Delhi was a key Mughal imperial province centered on the city of Delhi, serving as an important political and administrative hub of the empire.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44237f2cc819083ca0e7e00d828fb completed April 19, 2026, 2:47 a.m.
Created at: April 10, 2026, 5:46 a.m.