Triple

T6981474
Position Surface form Disambiguated ID Type / Status
Subject Zaynab bint Mazun E161855 entity
Predicate associatedWith P37 FINISHED
Object Medina E28127 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: Medina | Statement: [Zaynab bint Mazun, associatedWith, Medina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medina
Context triple: [Zaynab bint Mazun, associatedWith, Medina]
  • A. Medina chosen
    Medina is a holy city in western Saudi Arabia that is revered in Islam as the site of the Prophet Muhammad’s mosque and tomb and the second-holiest city after Mecca.
  • B. Medina
    Medina is a common Spanish-origin surname found across the Spanish-speaking world and among their diasporas.
  • C. Medina
    Medina is a small suburban city in Minnesota known for its rural character, parks, and proximity to the Minneapolis–Saint Paul metropolitan area.
  • D. Medina
    Medina was a Spanish women's magazine associated with the Franco-era Sección Femenina that promoted traditional gender roles and nationalist ideology.
  • E. City of Medina
    The City of Medina is a small, affluent residential community in King County, Washington, located on the eastern shore of Lake Washington across from Seattle.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db6d3f3c8190b0121f7934440c34 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c769fa17748190a1ca72ca86cce827 completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:31 p.m.