Triple

T134925
Position Surface form Disambiguated ID Type / Status
Subject Bòrd na Gàidhlig E2727 entity
Predicate alsoKnownAs P39 FINISHED
Object BnG
BnG is the commonly used abbreviation for Bòrd na Gàidhlig, the principal public body responsible for promoting and supporting the Scottish Gaelic language in Scotland.
E15006 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: BnG | Statement: [Bòrd na Gàidhlig, alsoKnownAs, BnG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BnG
Context triple: [Bòrd na Gàidhlig, alsoKnownAs, BnG]
  • A. JBLU
    JBLU is the stock ticker symbol for JetBlue Airways, a major U.S.-based low-cost airline.
  • B. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • C. Gweru
    Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
  • D. Ngäbere
    Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
  • E. BC
    BC is a private Jesuit research university located in Chestnut Hill, Massachusetts, known for its strong liberal arts programs and competitive NCAA Division I athletics.
  • 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: BnG
Triple: [Bòrd na Gàidhlig, alsoKnownAs, BnG]
Generated description
BnG is the commonly used abbreviation for Bòrd na Gàidhlig, the principal public body responsible for promoting and supporting the Scottish Gaelic language in Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BnG
Target entity description: BnG is the commonly used abbreviation for Bòrd na Gàidhlig, the principal public body responsible for promoting and supporting the Scottish Gaelic language in Scotland.
  • A. JBLU
    JBLU is the stock ticker symbol for JetBlue Airways, a major U.S.-based low-cost airline.
  • B. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • C. Gweru
    Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
  • D. Ngäbere
    Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
  • E. BC
    BC is a private Jesuit research university located in Chestnut Hill, Massachusetts, known for its strong liberal arts programs and competitive NCAA Division I athletics.
  • 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257a3ad908190b6a8652f09ae0cbb completed Feb. 28, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2aa47e780819083237393f19a0fce completed Feb. 28, 2026, 8:41 a.m.
NEDg Description generation batch_69a2ab56ab4881909e570e9b404bf2fe completed Feb. 28, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_69a2ab8e01448190b58b2747b7fda5cb completed Feb. 28, 2026, 8:47 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.