Triple

T10206354
Position Surface form Disambiguated ID Type / Status
Subject Jamestown Community College E242204 entity
Predicate shortName P43 FINISHED
Object JCC
JCC is a public community college serving the Jamestown, New York region with two-year degree and certificate programs.
 E849698 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: JCC | Statement: [Jamestown Community College, shortName, JCC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JCC
Context triple: [Jamestown Community College, shortName, JCC]
  • A. RJCC
    RJCC is the ICAO airport code for New Chitose Airport, the main international gateway serving Sapporo and the Hokkaido region of Japan.
  • B. UJC
    UJC is the youth wing of Cuba’s Communist Party, responsible for engaging and organizing young people in support of the country’s socialist project.
  • C. FJCC
    FJCC was a major mid-20th-century U.S. computing conference that served as a key forum for presenting influential research and developments in computer science and technology.
  • D. BJCC
    BJCC is a major multi-purpose convention, entertainment, and sports complex located in downtown Birmingham, Alabama.
  • E. JCA
    JCA is a Java EE standard that defines a pluggable architecture for integrating enterprise information systems with Java application servers.
  • 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: JCC
Triple: [Jamestown Community College, shortName, JCC]
Generated description
JCC is a public community college serving the Jamestown, New York region with two-year degree and certificate programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JCC
Target entity description: JCC is a public community college serving the Jamestown, New York region with two-year degree and certificate programs.
  • A. RJCC
    RJCC is the ICAO airport code for New Chitose Airport, the main international gateway serving Sapporo and the Hokkaido region of Japan.
  • B. UJC
    UJC is the youth wing of Cuba’s Communist Party, responsible for engaging and organizing young people in support of the country’s socialist project.
  • C. FJCC
    FJCC was a major mid-20th-century U.S. computing conference that served as a key forum for presenting influential research and developments in computer science and technology.
  • D. BJCC
    BJCC is a major multi-purpose convention, entertainment, and sports complex located in downtown Birmingham, Alabama.
  • E. JCA
    JCA is a Java EE standard that defines a pluggable architecture for integrating enterprise information systems with Java application servers.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d395f774008190ae38823651e45264 completed April 6, 2026, 11:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d652b489608190b844e1199e6126ce completed April 8, 2026, 1:05 p.m.
NEDg Description generation batch_69d657256a8481909f0bd1941b937bb0 completed April 8, 2026, 1:24 p.m.
NED2 Entity disambiguation (via description) batch_69d6576b2c0081909cf4bc502778e875 completed April 8, 2026, 1:26 p.m.
Created at: April 6, 2026, 10:53 a.m.