Triple

T25607134
Position Surface form Disambiguated ID Type / Status
Subject Berkshire Community College E641942 entity
Predicate hasTransferPathways P27773 FINISHED
Object four-year colleges and universities LITERAL FINISHED

How this triple was built (2 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: four-year colleges and universities | Statement: [Berkshire Community College, hasTransferPathways, four-year colleges and universities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTransferPathways
Context triple: [Berkshire Community College, hasTransferPathways, four-year colleges and universities]
  • A. hasPathway chosen
    Indicates that there exists a route, channel, or sequence of steps through which one entity leads, connects, or gives access to another.
  • B. transferPathwayTo
    Indicates the act of moving or reassigning a pathway (such as a process, route, or channel) from one entity to another.
  • C. hasPlayerPathway
    Indicates that there is a defined developmental or progression route available for a player within a given context or system.
  • D. hasTransfer
    Indicates a relationship where something is moved or conveyed from one entity or location to another.
  • E. acceptsCareerPath
    Indicates that one entity approves or agrees to follow a proposed career path associated with another entity.
  • F. None of above.

Provenance (3 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_69e75dc6ccf081908d49578fd36a76d5 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f69edbb7648190bd89c57e0932eac1 completed May 3, 2026, 1:03 a.m.
PD Predicate disambiguation batch_69f69d17e8d48190b30bcc2f4bd81eb2 completed May 3, 2026, 12:55 a.m.
Created at: April 21, 2026, 4:39 p.m.