Triple

T2460713
Position Surface form Disambiguated ID Type / Status
Subject Amber Fort E54526 entity
Predicate hasPart P35 FINISHED
Object Diwan-i-Aam E69291 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: Diwan-i-Aam | Statement: [Amber Fort, hasPart, Diwan-i-Aam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diwan-i-Aam
Context triple: [Amber Fort, hasPart, Diwan-i-Aam]
  • A. Diwan-i-Aam chosen
    Diwan-i-Aam is the public audience hall in Delhi’s Red Fort where Mughal emperors historically met and addressed the general populace.
  • B. Diwan-i-Khas
    Diwan-i-Khas is the ornate marble hall of private audience in Delhi’s Red Fort, where Mughal emperors once held exclusive court and state discussions.
  • C. Naubat Khana
    Naubat Khana is a historic drum house and ceremonial gateway within Delhi’s Red Fort complex, where royal musicians once announced the arrival of the emperor and important dignitaries.
  • D. Ibadat Khana
    Ibadat Khana is a historic hall of religious debate and discussion established by the Mughal emperor Akbar at Fatehpur Sikri for interfaith dialogues among scholars of different religions.
  • E. Diwan-e-Ghalib
    Diwan-e-Ghalib is the celebrated collection of Urdu ghazals by the 19th-century poet Mirza Ghalib, renowned for its philosophical depth, linguistic elegance, and enduring influence on South Asian literature.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd10ba66481909580e994b22fd406 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0d2b2748190b12611863d8bf4ad completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:44 p.m.