Triple

T7840053
Position Surface form Disambiguated ID Type / Status
Subject Muhammad al-Jawad E181782 entity
Predicate mother P120 FINISHED
Object Khayzuran E255764 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: Khayzuran | Statement: [Muhammad al-Jawad, mother, Khayzuran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khayzuran
Context triple: [Muhammad al-Jawad, mother, Khayzuran]
  • A. al-Khayzuran chosen
    Al-Khayzuran was a powerful and influential Abbasid queen and consort who played a major political role during the reigns of her sons, caliphs al-Hadi and Harun al-Rashid.
  • B. Kifri
    Kifri is a town in Iraq with a significant Iraqi Turkmen population and cultural presence.
  • C. Kilyos
    Kilyos is a seaside neighborhood on the Black Sea coast of Istanbul, Turkey, known for its beaches and summer resorts.
  • D. Hasbaya
    Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
  • E. Kauthara
    Kauthara was an important historical city that served as one of the principal political and cultural centers of the Champa civilization in what is now central Vietnam.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c589748190b34d0911d373e194 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5aca5e348190bb73fc4748093248 completed March 31, 2026, 5:25 a.m.
Created at: March 30, 2026, 4:47 p.m.