Triple

T18643645
Position Surface form Disambiguated ID Type / Status
Subject Bumble E455749 entity
Predicate tickerSymbol P1447 FINISHED
Object BMBL NE NERFINISHED

How this triple was built (3 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: BMBL | Statement: [Bumble, tickerSymbol, BMBL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMBL
Context triple: [Bumble, tickerSymbol, BMBL]
  • A. BMB
    BMB is the Biodiversity Management Bureau, a Philippine government agency responsible for conserving and managing the country’s biological diversity and protected areas.
  • B. BMBF
    BMBF is the German Federal Ministry responsible for national policy and funding in education, science, and research.
  • C. BBMB
    BBMB is an Indian governmental organization responsible for managing the Bhakra-Nangal and Beas river projects, including their dams, power generation, and water distribution.
  • D. MBMC
    MBMC is the municipal governing body responsible for civic administration and infrastructure in the Mira-Bhayandar region of Maharashtra, India.
  • E. BMH
    BMH is the National Rail station code for Bournemouth railway station in Dorset, England.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BMBL
Target entity description: BMBL is the stock ticker symbol for Bumble Inc., a dating and social networking company known for its women-first approach to initiating conversations.
  • A. BMB
    BMB is the Biodiversity Management Bureau, a Philippine government agency responsible for conserving and managing the country’s biological diversity and protected areas.
  • B. BMBF
    BMBF is the German Federal Ministry responsible for national policy and funding in education, science, and research.
  • C. BBMB
    BBMB is an Indian governmental organization responsible for managing the Bhakra-Nangal and Beas river projects, including their dams, power generation, and water distribution.
  • D. MBMC
    MBMC is the municipal governing body responsible for civic administration and infrastructure in the Mira-Bhayandar region of Maharashtra, India.
  • E. BMH
    BMH is the National Rail station code for Bournemouth railway station in Dorset, England.
  • F. None of above. chosen

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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5500b6d7c8190b807b772980d913c completed April 19, 2026, 9:58 p.m.
Created at: April 10, 2026, 11:47 a.m.