Triple

T839632
Position Surface form Disambiguated ID Type / Status
Subject Big 12 Conference E18147 entity
Predicate abbreviation P43 FINISHED
Object B12
B12 is the common shorthand used to refer to the Big 12 Conference, a major collegiate athletic conference in the United States.
E100602 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: B12 | Statement: [Big 12 Conference, abbreviation, B12]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: B12
Context triple: [Big 12 Conference, abbreviation, B12]
  • A. B6
    B6 is the IATA airline designator used to identify JetBlue Airways on tickets, schedules, and flight information systems.
  • B. Behring
    Behring is a German surname most notably associated with Emil Adolf von Behring, the pioneering physiologist and first Nobel laureate in Physiology or Medicine for his work on serum therapy.
  • C. Boric
    Boric is the surname of Gabriel Boric, the Chilean politician who became one of the world’s youngest heads of state when he was elected President of Chile.
  • D. Leqembi
    Leqembi is an Alzheimer’s disease drug (lecanemab) that targets amyloid-beta plaques to slow cognitive decline in early-stage patients.
  • E. Versonnex
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • 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: B12
Triple: [Big 12 Conference, abbreviation, B12]
Generated description
B12 is the common shorthand used to refer to the Big 12 Conference, a major collegiate athletic conference in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: B12
Target entity description: B12 is the common shorthand used to refer to the Big 12 Conference, a major collegiate athletic conference in the United States.
  • A. B6
    B6 is the IATA airline designator used to identify JetBlue Airways on tickets, schedules, and flight information systems.
  • B. Behring
    Behring is a German surname most notably associated with Emil Adolf von Behring, the pioneering physiologist and first Nobel laureate in Physiology or Medicine for his work on serum therapy.
  • C. Boric
    Boric is the surname of Gabriel Boric, the Chilean politician who became one of the world’s youngest heads of state when he was elected President of Chile.
  • D. Leqembi
    Leqembi is an Alzheimer’s disease drug (lecanemab) that targets amyloid-beta plaques to slow cognitive decline in early-stage patients.
  • E. Versonnex
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • 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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abe4ab1081909207ae2eec1898d9 completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7929860f081909c86f84d7cfe6acb completed March 4, 2026, 2:02 a.m.
NEDg Description generation batch_69a796370f388190b23cd19cc3fa5a3b completed March 4, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69a796bee5388190ab0abf0bfa08ad97 completed March 4, 2026, 2:19 a.m.
Created at: March 1, 2026, 7:38 p.m.