Triple

T22537617
Position Surface form Disambiguated ID Type / Status
Subject NEFU E557197 entity
Predicate shortName P43 FINISHED
Object NEFU 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: NEFU | Statement: [NEFU, shortName, NEFU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NEFU
Context triple: [NEFU, shortName, NEFU]
  • A. NEFU chosen
    NEFU is a major Russian federal university located in Yakutsk, specializing in education and research related to the Arctic and the Far East regions.
  • B. UFU
    UFU is the Italian-language abbreviation for Switzerland’s Federal Office for Gender Equality, the national authority responsible for promoting equal rights and opportunities for all genders.
  • C. NEHU
    NEHU is a central university in Shillong, India, known for serving the higher education and research needs of the northeastern region of the country.
  • D. FOJ
    FOJ is the abbreviation for Switzerland’s Federal Office of Justice, the national authority responsible for key legal, judicial, and legislative matters.
  • E. NGFU
    NGFU is the ICAO airport code for Funafuti International Airport, the main air gateway to the island nation of Tuvalu.
  • 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f2f671c8190b7a7d9b6d0d64a9b completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:51 p.m.