Triple

T17310822
Position Surface form Disambiguated ID Type / Status
Subject Elfstedentocht E420288 entity
Predicate passesThrough P225 FINISHED
Object Franeker E112857 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: Franeker | Statement: [Elfstedentocht, passesThrough, Franeker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franeker
Context triple: [Elfstedentocht, passesThrough, Franeker]
  • A. Franeker chosen
    Franeker is a historic university town in the Dutch province of Friesland, known for its well-preserved medieval center and the famous Eise Eisinga Planetarium.
  • B. Fairville
    Fairville is a residential neighbourhood located on the west side of Saint John, New Brunswick, Canada.
  • C. Lenola
    Lenola is a small Italian town in the Lazio region, known for its historic hilltop setting and scenic views over the surrounding countryside.
  • D. Farlington
    Farlington is a small rural village in North Yorkshire, England, situated near the River Foss and known for its historic parish church and agricultural surroundings.
  • E. Farlington
    Farlington is a residential suburb in the northern part of Portsmouth, England, known for its coastal location and access to major transport routes.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4399837b08190b7cf74201b3cb013 completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180e5043081908f31c2434e9b9647 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:43 a.m.