Triple

T23444732
Position Surface form Disambiguated ID Type / Status
Subject Trout E565503 entity
Predicate isRelatedTo P37 FINISHED
Object Troutman NE NERFINISHED

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: Troutman | Statement: [Trout, isRelatedTo, Troutman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Troutman
Context triple: [Trout, isRelatedTo, Troutman]
  • A. Troutman chosen
    Troutman is a small town in Iredell County, North Carolina, known for its residential communities and proximity to the city of Statesville.
  • B. Iredell
    Iredell is a surname most notably associated with James Iredell Sr., an influential early American jurist and U.S. Supreme Court Justice.
  • C. The Boone
    The Boone is a popular nickname for Boone Pickens Stadium, the football stadium at Oklahoma State University in Stillwater, Oklahoma.
  • D. Ligonier
    Ligonier is a small historic borough in Pennsylvania known for its picturesque town square, frontier-era fort, and role as a gateway to the Laurel Highlands region.
  • E. Rives
    Rives is a surname of French origin borne by various notable individuals, including judges, politicians, and artists.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a647d6208190ba891252c8443fd4 completed April 29, 2026, 6:33 a.m.
Created at: April 17, 2026, 5:51 p.m.