Triple

T5932806
Position Surface form Disambiguated ID Type / Status
Subject Coastal Karnataka E131975 entity
Predicate regionalLanguage P237 FINISHED
Object Beary
Beary is a Dravidian language spoken primarily by the Beary Muslim community in the coastal districts of Karnataka, India.
 E555173 NE FINISHED

How this triple was built (4 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: [Coastal Karnataka, regionalLanguage, Beary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beary
Context triple: [Coastal Karnataka, regionalLanguage, Beary]
  • A. 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.
  • B. Boomer the Bear
    Boomer the Bear is the costumed bear mascot who represents Missouri State University at athletic events and campus activities.
  • C. 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.
  • D. Ben the bear
    Ben the bear is the friendly, domesticated brown bear who serves as the central animal character in the television series "Gentle Ben."
  • E. Bruiser the Bear
    Bruiser the Bear is the costumed bear mascot who represents Baylor University’s athletic teams and school spirit.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Beary
Triple: [Coastal Karnataka, regionalLanguage, Beary]
Generated description
Beary is a Dravidian language spoken primarily by the Beary Muslim community in the coastal districts of Karnataka, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beary
Target entity description: Beary is a Dravidian language spoken primarily by the Beary Muslim community in the coastal districts of Karnataka, India.
  • A. 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.
  • B. Boomer the Bear
    Boomer the Bear is the costumed bear mascot who represents Missouri State University at athletic events and campus activities.
  • C. 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.
  • D. Ben the bear
    Ben the bear is the friendly, domesticated brown bear who serves as the central animal character in the television series "Gentle Ben."
  • E. Bruiser the Bear
    Bruiser the Bear is the costumed bear mascot who represents Baylor University’s athletic teams and school spirit.
  • F. None of above. chosen

Provenance (5 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0389df18c81909027a9db7596f0c1 completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c064d2a4819096085668182cfde1 completed March 23, 2026, 4:24 a.m.
NEDg Description generation batch_69c0c109b3288190928dc4539a2872c2 completed March 23, 2026, 4:26 a.m.
NED2 Entity disambiguation (via description) batch_69c0c1f6fe60819080a00976740b6a9c completed March 23, 2026, 4:30 a.m.
Created at: March 22, 2026, 4 p.m.