Triple

T20930772
Position Surface form Disambiguated ID Type / Status
Subject Mahmud of Ghazni E515463 entity
Predicate mother P120 FINISHED
Object Nawbahar 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: Nawbahar | Statement: [Mahmud of Ghazni, mother, Nawbahar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nawbahar
Context triple: [Mahmud of Ghazni, mother, Nawbahar]
  • A. Nawbahar chosen
    Nawbahar was the mother of Mahmud of Ghazni, the prominent 11th-century sultan who founded the Ghaznavid Empire in present-day Afghanistan and northern India.
  • B. Naqiʾa
    Naqiʾa was a powerful Neo-Assyrian royal woman, influential as queen and political advisor during the reigns of Sennacherib and her son Esarhaddon.
  • C. Nashwa
    Nashwa is a top-class British Thoroughbred racehorse known for her Group 1 victories, including major wins against elite international competition.
  • D. Tayibe
    Tayibe is a predominantly Arab city in central Israel, known for its location in the Triangle region and its role as a cultural and economic center for the local Arab community.
  • E. Nabawiyya
    Nabawiyya is a character in Naguib Mahfouz’s novel "The Thief and the Dogs," known primarily as the unfaithful wife whose betrayal deeply impacts the protagonist, Said Mahran.
  • 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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f6557e4881909ce932c3f538304a completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 12:49 p.m.