Triple

T8443338
Position Surface form Disambiguated ID Type / Status
Subject College of Design E199602 entity
Predicate city P40 FINISHED
Object Ames 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 | Statement: [College of Design, city, Ames]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ames
Context triple: [College of Design, city, Ames]
  • A. Ames
    Ames is a surname of English origin borne by various notable individuals across fields such as science, politics, and the arts.
  • B. 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.
  • C. Ames, Nebraska
    Ames, Nebraska is a small rural village located in Dodge County in eastern Nebraska, United States.
  • D. Davenport
    Davenport is an English surname of Norman origin that has been borne by various notable figures in mathematics, politics, and the arts.
  • E. Davenport
    Davenport is a historic community in Toronto, Ontario, known for its early settlement along Davenport Road and its role in the city’s industrial and residential development.
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe310d8e08190b871bda79acde678 completed March 31, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4dc984ec8190910e25f36d538928 completed April 2, 2026, 11:06 a.m.
Created at: March 30, 2026, 6:08 p.m.