Triple

T5251233
Position Surface form Disambiguated ID Type / Status
Subject Whitman College E118591 entity
Predicate foundingType P5179 FINISHED
Object college 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: college | Statement: [Whitman College, foundingType, college]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: foundingType
Context triple: [Whitman College, foundingType, college]
  • A. foundingMethod
    Indicates the way or process by which an entity (such as an organization, institution, or settlement) was originally established or created.
  • B. foundingStatus
    Indicates the relationship describing an entity’s role or condition in the creation or establishment of another entity (e.g., whether it is a founder, co-founder, or non-founder).
  • C. foundedOrganizationType chosen
    Indicates that an entity established or created an organization of a specified type (e.g., company, nonprofit, institution).
  • D. foundedUnder
    Indicates that an entity was established or created during the tenure, authority, or jurisdiction of another entity (such as a leader, regime, or governing body).
  • E. foundedAs
    Indicates the original name or form under which an organization, institution, or entity was first established.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b7b840881908bb1ecb8a0047382 completed March 20, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69bd77c30bac8190a883ca45da35d667 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:50 p.m.