Triple

T1486307
Position Surface form Disambiguated ID Type / Status
Subject Grayson College E29471 entity
Predicate city P40 FINISHED
Object Denison E120802 NE 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: Denison | Statement: [Grayson College, city, Denison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denison
Context triple: [Grayson College, city, Denison]
  • A. Denison chosen
    Denison is a city in north Texas known for its railroad heritage and as the birthplace of U.S. President Dwight D. Eisenhower.
  • B. DePauw University
    DePauw University is a private liberal arts college in Greencastle, Indiana, known for its strong undergraduate programs and emphasis on close student-faculty engagement.
  • C. Notre Dame, Indiana
    Notre Dame, Indiana is an unincorporated community in northern Indiana best known as the home of the University of Notre Dame and its surrounding academic institutions.
  • D. Morningside College
    Morningside College is a private liberal arts college in Sioux City, Iowa, known for its strong undergraduate programs and active athletic tradition.
  • E. University of Dayton
    The University of Dayton is a private Catholic research university in Dayton, Ohio, known for its strong engineering, business, and entrepreneurship programs and its Marianist educational tradition.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6a1d8448190b3c90bb82fd806fe completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15b5aa348190bf6d7a3177eacaff completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 8:12 p.m.