Triple

T14180987
Position Surface form Disambiguated ID Type / Status
Subject Khari Baoli E351450 entity
Predicate partOf P40 FINISHED
Object Old Delhi trading district E1087720 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 trading district | Statement: [Khari Baoli, partOf, Old Delhi trading district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Delhi trading district
Context triple: [Khari Baoli, partOf, Old Delhi trading district]
  • A. Vakil Bazaar
    Vakil Bazaar is a historic covered market in Shiraz, Iran, renowned for its traditional architecture and vibrant trade in local goods and handicrafts.
  • B. Sadar Bazar chosen
    Sadar Bazar is a bustling wholesale and retail market area in Old Delhi, India, known for its dense network of shops selling a wide variety of goods at competitive prices.
  • C. Laad Bazaar
    Laad Bazaar is a historic and bustling market in Hyderabad, India, famed for its traditional lacquer bangles, bridal wear, and old-city charm near the Charminar.
  • D. Old Delhi
    Old Delhi is the historic walled quarter of India’s capital, renowned for its Mughal-era architecture, bustling markets, and narrow, crowded streets.
  • E. Anarkali Bazaar
    Anarkali Bazaar is one of the oldest and busiest traditional markets in Lahore, Pakistan, known for its dense network of shops selling clothing, jewelry, handicrafts, and street food.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61ca3ad88190944850c97760dcbf completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d77e8dc8190b90f3505960e549e completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:02 a.m.