Triple

T23035329
Position Surface form Disambiguated ID Type / Status
Subject Tomb of Pari Bibi E573577 entity
Predicate burialPlaceOf P196 FINISHED
Object Pari Bibi 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: Pari Bibi | Statement: [Tomb of Pari Bibi, burialPlaceOf, Pari Bibi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pari Bibi
Context triple: [Tomb of Pari Bibi, burialPlaceOf, Pari Bibi]
  • A. Pari Bibi chosen
    Pari Bibi was a Mughal-era noblewoman of Bengal, remembered as the daughter of Subahdar Shaista Khan and for her grand tomb within Dhaka’s historic Lalbagh Fort complex.
  • B. Hurmat Bibi
    Hurmat Bibi was the wife of Mirza Ghulam Ahmad, the 19th-century Indian religious leader and founder of the Ahmadiyya Muslim Community.
  • C. Diwanji Begum
    Diwanji Begum was a Mughal noblewoman best known as the mother of Mumtaz Mahal, the empress for whom the Taj Mahal was built.
  • D. Chandni Begum
    Chandni Begum is a celebrated Urdu novel by Qurratulain Hyder that explores post-Partition Indian society through intricate family sagas and social commentary.
  • E. Nithar Begum
    Nithar Begum was a Mughal princess, the daughter of Emperor Jahangir, known for her elaborately decorated tomb in the historic Khusro Bagh complex at Prayagraj, India.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1850df7fc81909ee522d99d96af0d completed April 29, 2026, 4:11 a.m.
Created at: April 17, 2026, 3:53 p.m.