Triple

T23337657
Position Surface form Disambiguated ID Type / Status
Subject Seungkwan E591640 entity
Predicate memberOf P10 FINISHED
Object BSS 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: BSS | Statement: [Seungkwan, memberOf, BSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BSS
Context triple: [Seungkwan, memberOf, BSS]
  • A. BSS
    BSS is the common abbreviation for bismuth subsalicylate, the active ingredient in Pepto-Bismol used to treat digestive discomfort.
  • B. BSS
    BSS (Base Station Subsystem) is the part of a mobile communication system that handles radio transmission and reception between mobile devices and the network’s switching core.
  • C. BSS chosen
    BSS is a subunit of the South Korean boy group Seventeen, known for its energetic and humorous performances.
  • D. BSBS
    BSBS is the station code for Banaras railway station, a major rail hub serving the city of Varanasi in Uttar Pradesh, India.
  • E. BSB
    BSB is the railway station code for Varanasi Junction, a major rail hub in the Indian state of Uttar Pradesh.
  • 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1982f8574819090f8b0ba249237a3 completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:17 p.m.