Triple

T3209573
Position Surface form Disambiguated ID Type / Status
Subject University of Franeker E67246 entity
Predicate locatedIn P40 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: [University of Franeker, locatedIn, Franeker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franeker
Context triple: [University of Franeker, locatedIn, 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. Fairhaven
    Fairhaven is a historic coastal town in southeastern Massachusetts known for its picturesque harbor, rich maritime heritage, and well-preserved 19th-century architecture.
  • C. Rehoboth
    Rehoboth is a historic rural town in Bristol County, Massachusetts, known as one of the earliest settlements in the region and noted for its colonial heritage and open spaces.
  • D. Mattapan
    Mattapan is a residential neighborhood in Boston, Massachusetts, known for its diverse community and location in the city's southern section.
  • E. Mariefred
    Mariefred is a small historic town in Södermanland County, Sweden, known for the nearby Gripsholm Castle and its picturesque lakeside setting.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaab701c48190b91404ab416f7ce3 completed March 8, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2622d4e988190a8a98a0bc9353e3f completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:07 p.m.