Triple

T22551747
Position Surface form Disambiguated ID Type / Status
Subject Facultad de Arquitectura, Diseño y Urbanismo E557574 entity
Predicate shortName P43 FINISHED
Object FADU 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: FADU | Statement: [Facultad de Arquitectura, Diseño y Urbanismo, shortName, FADU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FADU
Context triple: [Facultad de Arquitectura, Diseño y Urbanismo, shortName, FADU]
  • A. FADU chosen
    FADU is a higher education institution focused on architecture, design, and urbanism.
  • B. FADA
    FADA is a university faculty specializing in education and research in the creative fields of art, design, and architecture.
  • C. FAF
    FAF is the commonly used abbreviation for the Financial Accounting Foundation, the U.S. organization that oversees and supports the creation of financial accounting and reporting standards.
  • D. FAF
    FAF is the governing body responsible for overseeing and organizing football activities and competitions in Algeria.
  • E. al-Furuq
    al-Furuq is a seminal work of Islamic legal theory by the Maliki jurist al-Qarafi, analyzing and distinguishing between closely related legal principles and rulings.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f7647208190a1aaebd083bf095a completed April 29, 2026, 1:31 a.m.
Created at: April 16, 2026, 8:52 p.m.