Triple

T6820076
Position Surface form Disambiguated ID Type / Status
Subject Mangalore E156874 entity
Predicate language P15 FINISHED
Object Beary E555173 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: Beary | Statement: [Mangalore, language, Beary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beary
Context triple: [Mangalore, language, Beary]
  • A. Beary chosen
    Beary is a Dravidian language spoken primarily by the Beary Muslim community in the coastal districts of Karnataka, India.
  • B. Bear
    "Bear" is the NATO reporting name for the Tupolev Tu-95, a long-range, turboprop-powered strategic bomber and maritime patrol aircraft developed by the Soviet Union.
  • C. Brisky the Bear
    Brisky the Bear is the costumed bear mascot of Japan’s Hokkaido Nippon-Ham Fighters professional baseball team, known for entertaining fans at games and team events.
  • D. Boomer the Bear
    Boomer the Bear is the costumed bear mascot who represents Missouri State University at athletic events and campus activities.
  • E. Carlton the Bear
    Carlton the Bear is the official mascot of the NHL’s Toronto Maple Leafs, depicted as a friendly anthropomorphic polar bear who entertains fans at games and team events.
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d359176c8190a34664ba2fcf7ee2 completed March 27, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723e797908190bb0a2d22556b5906 completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:17 p.m.