Triple

T3089123
Position Surface form Disambiguated ID Type / Status
Subject Vaud E64446 entity
Predicate hasCity P316 FINISHED
Object Payerne E275151 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: Payerne | Statement: [Vaud, hasCity, Payerne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Payerne
Context triple: [Vaud, hasCity, Payerne]
  • A. Payerne chosen
    Payerne is a historic town and municipality in the canton of Vaud, Switzerland, known for its medieval abbey and regional agricultural significance.
  • B. Kolbermoor
    Kolbermoor is a small Bavarian town in southern Germany, known as the birthplace of footballer Bastian Schweinsteiger.
  • C. Kulm
    Kulm, now known as Chełmno in Poland, is a historic town on the Vistula River notable for its medieval architecture and role in the history of Royal Prussia.
  • D. Harput
    Harput is an ancient settlement and archaeological site in eastern Turkey known for its historic fortress, churches, and layered cultural heritage spanning multiple civilizations.
  • E. Karintha
    Karintha is a central character in Jean Toomer's modernist work "Cane," depicted as a beautiful Southern Black woman whose life reflects themes of desire, exploitation, and the burdens placed on Black women in the early 20th-century American South.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada20b99a4819090c3d3e08ed556ad completed March 8, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f8a4c1f08190a80efd190e4ed07f completed March 11, 2026, 11:20 p.m.
Created at: March 8, 2026, 3:03 p.m.