Triple

T18523021
Position Surface form Disambiguated ID Type / Status
Subject Onei Island E452636 entity
Predicate hasCountryCode P189 FINISHED
Object FM 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: FM | Statement: [Onei Island, hasCountryCode, FM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FM
Context triple: [Onei Island, hasCountryCode, FM]
  • A. FM
    FM is the IATA airline designator assigned to Shanghai Airlines, a Chinese carrier based in Shanghai.
  • B. FM
    FM is an album by British reggae-punk band The Skints that showcases their blend of ska, dub, and punk influences.
  • C. FM
    FM is the official abbreviation for the Swedish Armed Forces, the unified military organization responsible for Sweden’s national defense.
  • D. .fm chosen
    .fm is the country-code top-level domain (ccTLD) for the Federated States of Micronesia, widely used both for local sites and by audio and radio-related services due to the "FM" association.
  • E. FM4
    FM4 is an Austrian national radio station known for its alternative music programming and youth-oriented cultural content.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5338f6da48190bdb374019d10db05 completed April 19, 2026, 7:57 p.m.
Created at: April 10, 2026, 11:37 a.m.