Triple

T13886797
Position Surface form Disambiguated ID Type / Status
Subject Eastern Fleet E333865 entity
Predicate abbreviation P43 FINISHED
Object EF E578398 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: EF | Statement: [Eastern Fleet, abbreviation, EF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EF
Context triple: [Eastern Fleet, abbreviation, EF]
  • A. EF
    EF is the vehicle registration code used on license plates for the German city of Erfurt.
  • B. EF chosen
    EF is the commonly used abbreviation for the Eclipse Foundation, a nonprofit organization that oversees open-source software projects and the Eclipse IDE ecosystem.
  • C. EFRO
    EFRO is the ICAO airport code for Rovaniemi Air Base in Finland, which serves both military and civilian air traffic near the Arctic Circle.
  • D. FF
    FF is the common abbreviation for Fianna Fáil, a major centrist to centre-right political party in Ireland that has played a dominant role in the country’s politics since the 20th century.
  • E. FF
    FF is the common fandom abbreviation for "FlashForward," a science fiction TV series centered on a mysterious global blackout that reveals people's future visions.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a281e481908a6184bcd7f59c03 completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c718140c8190a625da87231ee814 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.