Triple

T10312478
Position Surface form Disambiguated ID Type / Status
Subject Abd Allah ibn Masʿud E241926 entity
Predicate basedIn P40 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: [Abd Allah ibn Masʿud, basedIn, Medina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medina
Context triple: [Abd Allah ibn Masʿud, basedIn, 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 small suburban city in Minnesota known for its rural character, parks, and proximity to the Minneapolis–Saint Paul metropolitan area.
  • C. Medina
    Medina is a coastal municipality in the Philippines known for its scenic shoreline along Macajalar Bay and its largely rural, agriculture-based communities.
  • D. Medina
    Medina is a common Spanish-origin surname found across the Spanish-speaking world and among their diasporas.
  • E. Medina
    Medina was a Spanish women's magazine associated with the Franco-era Sección Femenina that promoted traditional gender roles and nationalist ideology.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d32b85288190a11e09a0ab80d66c completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75001586c8190a0d4af1ff5588f0e completed April 9, 2026, 7:06 a.m.
Created at: April 6, 2026, 11:48 a.m.