Triple

T13625567
Position Surface form Disambiguated ID Type / Status
Subject New Point, Missouri E325570 entity
Predicate isBirthplaceOf P1 FINISHED
Object Roger Wehrli E64134 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: Roger Wehrli | Statement: [New Point, Missouri, isBirthplaceOf, Roger Wehrli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roger Wehrli
Context triple: [New Point, Missouri, isBirthplaceOf, Roger Wehrli]
  • A. Roger Wehrli chosen
    Roger Wehrli is a Hall of Fame American football cornerback best known for his standout career with the St. Louis Cardinals in the NFL during the 1970s.
  • B. Igor Haefeli
    Igor Haefeli is a Swiss musician and guitarist best known as a founding member of the indie-folk band Daughter.
  • C. Martin Suter
    Martin Suter is a Swiss author best known for his popular contemporary novels and crime fiction, including the successful "Business Class" stories and the Allmen detective series.
  • D. Alfred Wehrli
    Alfred Wehrli was a notable figure significant enough in his community or institution to have Benedetti–Wehrli Stadium named in his honor.
  • E. Christoph Riggenbach
    Christoph Riggenbach was a Swiss architect known for designing the Kunstmuseum Basel, one of the oldest public art collections in the world.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9c72c88190be3d7a3f2e96afbc completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a83aeeb48190b92b00366791ab15 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:50 p.m.