Triple

T19404787
Position Surface form Disambiguated ID Type / Status
Subject IST E485424 entity
Predicate alternativeName P39 FINISHED
Object Técnico Lisboa 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: Técnico Lisboa | Statement: [IST, alternativeName, Técnico Lisboa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Técnico Lisboa
Context triple: [IST, alternativeName, Técnico Lisboa]
  • A. Técnico Lisboa chosen
    Técnico Lisboa is Portugal’s leading engineering and technology school, renowned for its rigorous academic programs and cutting-edge research within the University of Lisbon.
  • B. Central Mirandese
    Central Mirandese is a primary regional variety of the Mirandese language spoken in northeastern Portugal, distinguished by its own phonological and lexical features.
  • C. Belenenses
    Belenenses is a historic Portuguese football club based in Lisbon, known as one of the country’s traditional “Big Four” teams.
  • D. F.C. Famalicão
    F.C. Famalicão is a Portuguese professional football club based in Vila Nova de Famalicão that competes in the country’s top division.
  • E. Sporting de Braga
    Sporting de Braga is a prominent Portuguese football club based in Braga, known for regularly competing at the top level domestically and in European competitions.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6257a361c8190bf019fc350faa225 completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.