Triple

T21105002
Position Surface form Disambiguated ID Type / Status
Subject A Loss of Roses E520015 entity
Predicate follows P134 FINISHED
Object Bus Stop — 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: Bus Stop | Statement: [A Loss of Roses, follows, Bus Stop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bus Stop
Context triple: [A Loss of Roses, follows, Bus Stop]
  • A. Bus Stop
    "Bus Stop" is a 1966 pop song by the British band The Hollies, notable for its catchy melody and narrative lyrics about a romance that begins at a bus stop.
  • B. Bus Stop chosen
    "Bus Stop" is a 1955 romantic comedy-drama play by American playwright William Inge, best known for its small-town setting and exploration of loneliness and human connection.
  • C. Bus Stop
    Bus Stop is a 1956 romantic comedy-drama film starring Marilyn Monroe as a small-town saloon singer pursued by a naive cowboy.
  • D. bus stand B
    Bus stand B is a designated boarding and alighting point for bus services operating from London Bridge bus station in central London.
  • E. Express Bus Terminal Station
    Express Bus Terminal Station is a major transportation hub in Seoul that integrates intercity bus services with multiple subway lines and extensive commercial facilities.
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b6150f08190a3738f1eda7fa834 completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:53 p.m.