Triple

T9359578
Position Surface form Disambiguated ID Type / Status
Subject Phi Beta Kappa Society E225242 entity
Predicate hasLetters P17387 FINISHED
Object Β
Β is the Greek capital letter beta, commonly used in mathematics, science, and as part of Greek-letter names for organizations.
 E794698 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: Β | Statement: [Phi Beta Kappa Society, hasLetters, Β]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Β
Context triple: [Phi Beta Kappa Society, hasLetters, Β]
  • A. B
    B is the vehicle registration code used on license plates for Berlin, Germany.
  • B. 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.
  • C. B
    B is an early systems programming language developed at Bell Labs that served as a direct precursor to the C programming language.
  • D. B
    B is a New York City Subway service that runs on the IND Sixth Avenue Line, providing local and express service through Manhattan and Brooklyn.
  • E. Ba
    Ba is a town and district on the northwestern coast of Viti Levu in Fiji, known for its sugar industry and cultural diversity.
  • 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: Β
Triple: [Phi Beta Kappa Society, hasLetters, Β]
Generated description
Β is the Greek capital letter beta, commonly used in mathematics, science, and as part of Greek-letter names for organizations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Β
Target entity description: Β is the Greek capital letter beta, commonly used in mathematics, science, and as part of Greek-letter names for organizations.
  • A. B
    B is the vehicle registration code used on license plates for Berlin, Germany.
  • B. 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.
  • C. B
    B is an early systems programming language developed at Bell Labs that served as a direct precursor to the C programming language.
  • D. B
    B is a New York City Subway service that runs on the IND Sixth Avenue Line, providing local and express service through Manhattan and Brooklyn.
  • E. Ba
    Ba is a town and district on the northwestern coast of Viti Levu in Fiji, known for its sugar industry and cultural diversity.
  • 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_69ca842bdd648190904131d58620d448 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4ff2ca9081908ccc88651640ed84 completed April 1, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3da85d48190966682b0f1965a53 completed April 4, 2026, 11:19 a.m.
NEDg Description generation batch_69d0f619e91081909c2ec17e89376295 completed April 4, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_69d0f6ce1a0c8190aca34958935e0e59 completed April 4, 2026, 11:32 a.m.
Created at: March 30, 2026, 7:42 p.m.