Triple

T15179013
Position Surface form Disambiguated ID Type / Status
Subject Afzal Mahal E362688 entity
Predicate relatedPlace P3158 FINISHED
Object Khilwat Mubarak E362686 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: Khilwat Mubarak | Statement: [Afzal Mahal, relatedPlace, Khilwat Mubarak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khilwat Mubarak
Context triple: [Afzal Mahal, relatedPlace, Khilwat Mubarak]
  • A. Khilwat Mubarak chosen
    Khilwat Mubarak is the grand central durbar hall of Hyderabad’s Chowmahalla Palace, historically used by the Nizams for ceremonial and official gatherings.
  • B. Tāj al-ʿArūs
    Tāj al-ʿArūs is a monumental 18th-century Arabic dictionary and commentary on earlier lexicographical works, renowned as one of the most comprehensive sources on classical Arabic vocabulary and usage.
  • C. Mezallat
    Mezallat is a passenger station on Cairo Metro’s Line 2 serving commuters in the Greater Cairo area.
  • D. Khilwat Khana
    Khilwat Khana is a historic royal residential and private audience chamber within Lahore Fort, known for its Mughal-era architecture and intricate decorative work.
  • E. Halat Bu Maher
    Halat Bu Maher is a coastal neighborhood on Muharraq Island in Bahrain, known for its traditional urban fabric and proximity to historic sites.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00664caac81909bee1268264769f8 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec89061548190b0b10da00b8d937e completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:09 a.m.