Triple

T3405704
Position Surface form Disambiguated ID Type / Status
Subject Central College E71765 entity
Predicate hasName P744 FINISHED
Object Central College E71765 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: Central College | Statement: [Central College, hasName, Central College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central College
Context triple: [Central College, hasName, Central College]
  • A. Central College chosen
    Central College is a private liberal arts college known for its strong undergraduate programs and study abroad opportunities, located in Pella, Iowa.
  • B. Cornell College
    Cornell College is a private liberal arts college in Mount Vernon, Iowa, known for its distinctive One Course At A Time block academic calendar.
  • C. Morningside College
    Morningside College is a private liberal arts college in Sioux City, Iowa, known for its strong undergraduate programs and active athletic tradition.
  • D. Centre College
    Centre College is a private liberal arts college in Danville, Kentucky, known for its rigorous academics and strong tradition of undergraduate education.
  • E. Grinnell College
    Grinnell College is a private liberal arts college in Grinnell, Iowa, known for its rigorous academics, progressive values, and strong emphasis on undergraduate teaching and research.
  • 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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8ec68c88190913df5f6cafad9e9 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bd8c0ec8190bd44d33fc031c845 completed March 12, 2026, 11:27 p.m.
Created at: March 8, 2026, 3:15 p.m.