Triple

T547237
Position Surface form Disambiguated ID Type / Status
Subject Red Fort E12759 entity
Predicate district P2709 FINISHED
Object Old Delhi E94582 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: [Red Fort, district, Old Delhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Delhi
Context triple: [Red Fort, district, Old Delhi]
  • A. Agra
    Agra is a historic city in northern India renowned for its Mughal-era architecture, most notably the Taj Mahal and Agra Fort.
  • B. Delhi
    Delhi is a major metropolitan region and the capital territory of India, known for its political significance, rich history, and diverse culture.
  • C. Shahjahanabad chosen
    Shahjahanabad, now known as Old Delhi, was the fortified Mughal imperial city founded by Emperor Shah Jahan and later served as the empire’s political and cultural center.
  • D. 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.
  • E. Aligarh
    Aligarh is a prominent city in northern India known for its lock industry and as the home of Aligarh Muslim University.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a498e2e8c88190a66d759ed3094e18 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1185da8c8190a70f4fd885bbe209 completed March 7, 2026, 11:52 a.m.
Created at: March 1, 2026, 7:32 p.m.