Triple

T15448661
Position Surface form Disambiguated ID Type / Status
Subject Adriaan Metius E370090 entity
Predicate workLocation P7 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: [Adriaan Metius, workLocation, Franeker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franeker
Context triple: [Adriaan Metius, workLocation, 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. Lenola
    Lenola is a small Italian town in the Lazio region, known for its historic hilltop setting and scenic views over the surrounding countryside.
  • C. 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.
  • D. Farlington
    Farlington is a residential suburb in the northern part of Portsmouth, England, known for its coastal location and access to major transport routes.
  • E. Lahey
    Lahey is a family surname of Irish origin borne by various notable individuals across fields such as politics, academia, and entertainment.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef9334c81908541e231b43eb012 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cf9eae881909b5dc74c55a04ff0 completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:21 a.m.