Triple

T2919604
Position Surface form Disambiguated ID Type / Status
Subject California Golden Bears women's volleyball team E78686 entity
Predicate nickname P55 FINISHED
Object Cal
Cal is the commonly used short name for the University of California, Berkeley and its associated athletic programs.
 E310291 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: Cal | Statement: [California Golden Bears women's volleyball team, nickname, Cal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cal
Context triple: [California Golden Bears women's volleyball team, nickname, Cal]
  • A. CAL
    CAL is the ICAO airline designator used to identify China Airlines in international aviation operations.
  • B. CA
    CA is the IATA airline designator assigned to Air China, the flag carrier of the People's Republic of China.
  • C. CA
    CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
  • D. CA
    CA is the two-letter U.S. postal abbreviation for the state of California.
  • E. LA
    LA is the IATA airline designator used by LATAM Airlines Group, a major South American airline conglomerate.
  • 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: Cal
Triple: [California Golden Bears women's volleyball team, nickname, Cal]
Generated description
Cal is the commonly used short name for the University of California, Berkeley and its associated athletic programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cal
Target entity description: Cal is the commonly used short name for the University of California, Berkeley and its associated athletic programs.
  • A. CAL
    CAL is the ICAO airline designator used to identify China Airlines in international aviation operations.
  • B. CA
    CA is the IATA airline designator assigned to Air China, the flag carrier of the People's Republic of China.
  • C. CA
    CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
  • D. CA
    CA is the two-letter U.S. postal abbreviation for the state of California.
  • E. LA
    LA is the IATA airline designator used by LATAM Airlines Group, a major South American airline conglomerate.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a53f8c8190b188d549f1161e84 completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0562fc5f081909c9130f71f379a24 completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b06117ba088190886fa464f54525cd completed March 10, 2026, 6:21 p.m.
NED2 Entity disambiguation (via description) batch_69b0628d5f608190b7a13ac2e8b8d721 completed March 10, 2026, 6:27 p.m.
Created at: March 8, 2026, 2:54 p.m.