Triple

T5332860
Position Surface form Disambiguated ID Type / Status
Subject M Ocean View E123350 entity
Predicate fareSystem P395 FINISHED
Object Clipper E123351 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: Clipper | Statement: [M Ocean View, fareSystem, Clipper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clipper
Context triple: [M Ocean View, fareSystem, Clipper]
  • A. Clipper chosen
    Clipper is a reloadable contactless smart card system used for paying fares on public transit across the San Francisco Bay Area.
  • B. CLIPPER
    CLIPPER was the historic radio callsign used by Pan American World Airways, evoking the airline’s famous flying boat “Clipper” fleet and its pioneering transoceanic services.
  • C. Corsair
    Corsair is a computer hardware and peripherals company best known for its gaming-focused products such as keyboards, mice, headsets, and PC components.
  • D. Clipper Maid of the Seas
    Clipper Maid of the Seas was the Boeing 747 aircraft operated by Pan Am that was destroyed in the 1988 Lockerbie bombing of Flight 103.
  • E. Scudder
    Scudder is a family surname that may refer to various individuals, including the fictional Mrs. Scudder and other real or literary figures bearing that name.
  • 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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ac8e10819088b6a9e02d927044 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21bebea0819083e6deae67f3e834 completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 2 p.m.