Triple

T5062806
Position Surface form Disambiguated ID Type / Status
Subject Brasenose College, Oxford E114063 entity
Predicate abbreviation P43 FINISHED
Object BNC
BNC is the commonly used abbreviation for Brasenose College, one of the constituent colleges of the University of Oxford.
 E490325 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: BNC | Statement: [Brasenose College, Oxford, abbreviation, BNC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BNC
Context triple: [Brasenose College, Oxford, abbreviation, BNC]
  • A. 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.
  • B. BN
    BN is the vehicle registration code used on license plates for the German city of Bonn.
  • C. BPN
    BPN is the National Rail station code for Blackpool North railway station, a primary rail terminus serving the seaside town of Blackpool in Lancashire, England.
  • D. BBN
    BBN is the early-universe process that produced the lightest elements—mainly hydrogen, helium, and small amounts of lithium—within the first few minutes after the Big Bang.
  • E. BTN
    BTN is the three-letter ISO 3166-1 alpha-3 country code assigned to Bhutan.
  • 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: BNC
Triple: [Brasenose College, Oxford, abbreviation, BNC]
Generated description
BNC is the commonly used abbreviation for Brasenose College, one of the constituent colleges of the University of Oxford.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BNC
Target entity description: BNC is the commonly used abbreviation for Brasenose College, one of the constituent colleges of the University of Oxford.
  • A. 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.
  • B. BN
    BN is the vehicle registration code used on license plates for the German city of Bonn.
  • C. BPN
    BPN is the National Rail station code for Blackpool North railway station, a primary rail terminus serving the seaside town of Blackpool in Lancashire, England.
  • D. BBN
    BBN is the early-universe process that produced the lightest elements—mainly hydrogen, helium, and small amounts of lithium—within the first few minutes after the Big Bang.
  • E. BTN
    BTN is the three-letter ISO 3166-1 alpha-3 country code assigned to Bhutan.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7475be3c819085cde8ec544c407e completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea497fed0819098746fd8917f041c completed March 21, 2026, 2 p.m.
NEDg Description generation batch_69bea5163c78819086d2424ee7b57890 completed March 21, 2026, 2:03 p.m.
NED2 Entity disambiguation (via description) batch_69bea577f4b0819084d579e4d4804947 completed March 21, 2026, 2:04 p.m.
Created at: March 20, 2026, 1:38 p.m.