Triple

T17081217
Position Surface form Disambiguated ID Type / Status
Subject Kasargod district E414472 entity
Predicate widelySpokenLanguage P2266 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: [Kasargod district, widelySpokenLanguage, Beary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beary
Context triple: [Kasargod district, widelySpokenLanguage, 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. Corbinian’s bear
    Corbinian’s bear is a legendary symbol from the life of Saint Corbinian, depicted as a tamed pack-bearing bear and now emblematic in Bavarian and papal heraldry.
  • D. Klawz the Bear
    Klawz the Bear is the costumed bear mascot who represents the University of Northern Colorado at athletic events and campus activities.
  • E. Brummbär
    The Brummbär was a German World War II armored assault gun based on the Panzer IV chassis and armed with a heavy 150 mm howitzer for close-support urban and fortification attacks.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe2fe7c819099ab0586b1a119f6 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee416c4819087e7ae0ead47867a completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.