Triple

T8017399
Position Surface form Disambiguated ID Type / Status
Subject Keen E186652 entity
Predicate hasVariant P455 FINISHED
Object Keene unclear NED1 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: Keene | Statement: [Keen, hasVariant, Keene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keene
Context triple: [Keen, hasVariant, Keene]
  • A. Keene
    Keene is a small unincorporated community in Kern County, California, historically associated with the United Farm Workers and labor leader César Chávez.
  • B. Keene
    Keene is a small community in Ontario, Canada, known for its rural character and proximity to Rice Lake.
  • C. Keene, New York
    Keene, New York is a small town in the Adirondack Mountains known for its scenic wilderness, hiking trails, and outdoor recreation opportunities.
  • D. Seymour
    Seymour is a masculine given name of English origin that has been borne by various notable figures in fields such as business, politics, and the arts.
  • E. Seymour
    Seymour is a small unincorporated community and suburban area in eastern Tennessee, situated near Knoxville in the foothills of the Great Smoky Mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df4f1b8819089a8b67f136bce9a completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56c213ec8190b3bd96c42d1357e4 completed March 31, 2026, 11:20 p.m.
Created at: March 30, 2026, 5:20 p.m.