Triple

T15903974
Position Surface form Disambiguated ID Type / Status
Subject Peter Schickele E385660 entity
Predicate placeOfBirth P1 FINISHED
Object Ames, Iowa E201628 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: Ames, Iowa | Statement: [Peter Schickele, placeOfBirth, Ames, Iowa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ames, Iowa
Context triple: [Peter Schickele, placeOfBirth, Ames, Iowa]
  • A. Ames, Iowa chosen
    Ames, Iowa is a central Iowa city best known as the home of Iowa State University and a major hub for education, research, and agriculture.
  • B. Ames
    Ames is a surname of English origin borne by various notable individuals across fields such as science, politics, and the arts.
  • C. Ames
    Ames is a municipality in the autonomous community of Galicia in northwestern Spain, situated near the city of Santiago de Compostela.
  • D. Ames, Nebraska
    Ames, Nebraska is a small rural village located in Dodge County in eastern Nebraska, United States.
  • E. Davenport, Iowa
    Davenport, Iowa is a major city along the Mississippi River in eastern Iowa, known as part of the Quad Cities metropolitan area and a regional hub for commerce and culture.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563f74d88190a3d92ca0ad46e867 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf11fd1481909f460cfa4485d3e3 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:52 a.m.