Triple

T15850336
Position Surface form Disambiguated ID Type / Status
Subject B2 League E384317 entity
Predicate shortName P43 FINISHED
Object B2
B2 is the abbreviated name commonly used to refer to the B2 League sports competition.
 E1179318 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: B2 | Statement: [B2 League, shortName, B2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: B2
Context triple: [B2 League, shortName, B2]
  • A. B2
    B2 is the second-generation Volkswagen Passat, produced in the early 1980s and known for its more angular design and expanded body style options compared to its predecessor.
  • B. B3
    B3 is the third-generation Volkswagen Passat, produced in the early 1990s and known for its aerodynamic, grille-less front design and improved engineering over its predecessors.
  • C. B3
    B3 is Brazil’s main stock exchange, responsible for trading equities, derivatives, and other financial assets in the Brazilian market.
  • D. B
    B is the designation of one of the main lines of the Paris RER commuter rail network, serving a major north–south axis through the Île-de-France region.
  • E. B
    B is the vehicle registration code used on license plates for Berlin, Germany.
  • 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: B2
Triple: [B2 League, shortName, B2]
Generated description
B2 is the abbreviated name commonly used to refer to the B2 League sports competition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: B2
Target entity description: B2 is the abbreviated name commonly used to refer to the B2 League sports competition.
  • A. B2
    B2 is the second-generation Volkswagen Passat, produced in the early 1980s and known for its more angular design and expanded body style options compared to its predecessor.
  • B. B3
    B3 is the third-generation Volkswagen Passat, produced in the early 1990s and known for its aerodynamic, grille-less front design and improved engineering over its predecessors.
  • C. B3
    B3 is Brazil’s main stock exchange, responsible for trading equities, derivatives, and other financial assets in the Brazilian market.
  • D. B
    B is the designation of one of the main lines of the Paris RER commuter rail network, serving a major north–south axis through the Île-de-France region.
  • E. B
    B is the vehicle registration code used on license plates for Berlin, Germany.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14cab0fe48190bd6629e071761e91 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa147bce481909fb6f6ef2793a5a8 completed May 9, 2026, 9:04 p.m.
NEDg Description generation batch_69ffa41a86ec8190b46d541965ecf26e completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa496f3e48190b8dc82bece548aec completed May 9, 2026, 9:18 p.m.
Created at: April 10, 2026, 4:50 a.m.