Triple

T7128586
Position Surface form Disambiguated ID Type / Status
Subject Malik ibn Anas E166128 entity
Predicate legalSchoolFoundedIn P75018 FINISHED
Object Medina E28127 NE FINISHED

How this triple was built (3 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: [Malik ibn Anas, legalSchoolFoundedIn, Medina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medina
Context triple: [Malik ibn Anas, legalSchoolFoundedIn, 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 common Spanish-origin surname found across the Spanish-speaking world and among their diasporas.
  • 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalSchoolFoundedIn
Context triple: [Malik ibn Anas, legalSchoolFoundedIn, Medina]
  • A. lawSchoolName
    Indicates the name of the law school with which an entity (such as a person or institution) is associated.
  • B. hasLegalEducationInstitution
    Indicates that an entity is associated with or linked to an institution that provides legal education.
  • C. majorSchoolOfLaw
    Indicates that a particular school of law is a primary or dominant legal tradition or framework associated with an entity.
  • D. associatedSchoolOfLaw
    Indicates a relationship where an entity is connected or linked to a particular school of law, typically as its legal education institution or legal academic affiliation.
  • E. lawSchoolRankingContext
    Indicates the contextual ranking information associated with a law school, such as its position or status within a specified ranking system or timeframe.
  • F. None of above. chosen

Provenance (5 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66b230c819090ddbc5396868305 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf7c0bb88190ac03e2279512d837 completed March 28, 2026, 11:46 a.m.
PD Predicate disambiguation batch_69c6e1c7289881909f3b533c384f9ed4 completed March 27, 2026, 8 p.m.
PDg Predicate description generation batch_69c6e4a213508190a40aca39f9eee7d5 completed March 27, 2026, 8:12 p.m.
Created at: March 27, 2026, 2:44 p.m.