Triple

T2814184
Position Surface form Disambiguated ID Type / Status
Subject Queen Mary E54243 entity
Predicate operator P179 FINISHED
Object Cunard Line E86578 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: Cunard Line | Statement: [Queen Mary, operator, Cunard Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cunard Line
Context triple: [Queen Mary, operator, Cunard Line]
  • A. Cunard Line chosen
    Cunard Line is a historic British shipping company best known for operating famous transatlantic ocean liners and modern cruise ships.
  • B. Riviera Line
    The Riviera Line is a scenic railway route in Devon, England, running along the coast and serving popular seaside towns between Exeter and Paignton.
  • C. P&O Ferries
    P&O Ferries is a major British ferry operator providing passenger and freight services across routes in the United Kingdom and Europe.
  • D. White Star Line
    White Star Line was a prominent British shipping company best known for operating the RMS Titanic and other famous ocean liners during the late 19th and early 20th centuries.
  • E. Franklin Line
    The Franklin Line is a Massachusetts Bay Transportation Authority (MBTA) commuter rail line serving communities southwest of Boston.
  • 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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde4ba34c819085a336498fc326b0 completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce9f964081909e422aaf1f026dbb completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.