Triple

T11928557
Position Surface form Disambiguated ID Type / Status
Subject College of Arts and Letters E283848 entity
Predicate shortName P43 FINISHED
Object CAL
CAL is the commonly used abbreviation for the College of Arts and Letters, an academic division typically focused on humanities and liberal arts disciplines.
 E955530 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: [College of Arts and Letters, shortName, CAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CAL
Context triple: [College of Arts and Letters, shortName, CAL]
  • A. CAL
    CAL is the ICAO airline designator used to identify China Airlines in international aviation operations.
  • B. CAL
    CAL was the stock ticker symbol for Continental Airlines, a major U.S. airline that later merged with United Airlines.
  • C. CAL
    CAL is the station code for California station on the Green Line transit system.
  • D. Cal
    Cal is the given name of professional baseball pitcher Cal Quantrill.
  • E. Cal
    Cal is the commonly used short name for the University of California, Berkeley and its associated athletic programs.
  • 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: [College of Arts and Letters, shortName, CAL]
Generated description
CAL is the commonly used abbreviation for the College of Arts and Letters, an academic division typically focused on humanities and liberal arts disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CAL
Target entity description: CAL is the commonly used abbreviation for the College of Arts and Letters, an academic division typically focused on humanities and liberal arts disciplines.
  • A. CAL
    CAL is the ICAO airline designator used to identify China Airlines in international aviation operations.
  • B. CAL
    CAL was the stock ticker symbol for Continental Airlines, a major U.S. airline that later merged with United Airlines.
  • C. CAL
    CAL is the station code for California station on the Green Line transit system.
  • D. Cal
    Cal is the given name of professional baseball pitcher Cal Quantrill.
  • E. Cal
    Cal is the commonly used short name for the University of California, Berkeley and its associated athletic programs.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903024afc8190a97aa3263dc7d017 completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f440611e648190b2c47b43f02d2e4b completed May 1, 2026, 5:55 a.m.
NEDg Description generation batch_69f448fb898081908a8ffd0da703c0f9 completed May 1, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f44b9e662881908549e041f6a05e38 completed May 1, 2026, 6:43 a.m.
Created at: April 8, 2026, 9:45 p.m.