Triple

T15614824
Position Surface form Disambiguated ID Type / Status
Subject Iron Annie E375384 entity
Predicate hasNotableOperator P95216 FINISHED
Object Aero O/Y (Finland) E645849 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: Aero O/Y (Finland) | Statement: [Iron Annie, hasNotableOperator, Aero O/Y (Finland)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aero O/Y (Finland)
Context triple: [Iron Annie, hasNotableOperator, Aero O/Y (Finland)]
  • A. Aero O/Y chosen
    Aero O/Y was the original Finnish airline that later evolved into the national carrier Finnair.
  • B. Ulstein
    Ulstein is a coastal municipality in western Norway known for its maritime industry and shipbuilding.
  • C. MS Finnmarken
    MS Finnmarken is a Norwegian coastal cruise ship operated on the Hurtigruten coastal route, offering passenger and cargo services along Norway’s coastline.
  • D. Nynäs Line
    The Nynäs Line is a Swedish railway route in Stockholm County that connects the city of Nynäshamn with the southern suburbs of Stockholm.
  • E. Aeromar
    Aeromar is a Mexican regional airline that primarily operates domestic and short-haul international flights, with a major operational base in Mexico City.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e83407c8190abbcd4b7fab0ff85 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56dd1e4c819090bf3cd4425b39b7 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:13 a.m.