Triple

T9636146
Position Surface form Disambiguated ID Type / Status
Subject Montgomery County Community College E232937 entity
Predicate abbreviation P43 FINISHED
Object MCCC
MCCC is a public community college serving Montgomery County, Pennsylvania, offering two-year degree and certificate programs as well as transfer pathways to four-year institutions.
 E811559 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: MCCC | Statement: [Montgomery County Community College, abbreviation, MCCC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MCCC
Context triple: [Montgomery County Community College, abbreviation, MCCC]
  • A. MCCA
    MCCA is the public agency that owns and operates major convention and exhibition centers in Massachusetts, including the Boston Convention & Exhibition Center and the Hynes Convention Center.
  • B. MMCC
    MMCC is the ICAO airport code assigned to Piedras Negras International Airport in Coahuila, Mexico.
  • C. MCC
    MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
  • D. MCC
    MCC is the former name of the Horizon League, an NCAA Division I collegiate athletic conference in the United States.
  • E. MCC
    MCC is a U.S. foreign aid agency that provides time-limited grants to promote economic growth, reduce poverty, and strengthen institutions in developing countries.
  • 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: MCCC
Triple: [Montgomery County Community College, abbreviation, MCCC]
Generated description
MCCC is a public community college serving Montgomery County, Pennsylvania, offering two-year degree and certificate programs as well as transfer pathways to four-year institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MCCC
Target entity description: MCCC is a public community college serving Montgomery County, Pennsylvania, offering two-year degree and certificate programs as well as transfer pathways to four-year institutions.
  • A. MCCA
    MCCA is the public agency that owns and operates major convention and exhibition centers in Massachusetts, including the Boston Convention & Exhibition Center and the Hynes Convention Center.
  • B. MMCC
    MMCC is the ICAO airport code assigned to Piedras Negras International Airport in Coahuila, Mexico.
  • C. MCC
    MCC is the former name of the Horizon League, an NCAA Division I collegiate athletic conference in the United States.
  • D. MCC
    MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
  • E. MCC
    MCC is a U.S. foreign aid agency that provides time-limited grants to promote economic growth, reduce poverty, and strengthen institutions in developing countries.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b2ba0308190931993c0321f6051 completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18237e2608190a3e7d45231a35efd completed April 4, 2026, 9:27 p.m.
NEDg Description generation batch_69d18333b5c4819090152a2da5e51e87 completed April 4, 2026, 9:31 p.m.
NED2 Entity disambiguation (via description) batch_69d183c8da2c8190a655c49994b94698 completed April 4, 2026, 9:34 p.m.
Created at: March 30, 2026, 8:11 p.m.