Triple

T17199059
Position Surface form Disambiguated ID Type / Status
Subject Frisian Eleven Cities E417428 entity
Predicate hasPart P35 FINISHED
Object Bolsward E420293 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: Bolsward | Statement: [Frisian Eleven Cities, hasPart, Bolsward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bolsward
Context triple: [Frisian Eleven Cities, hasPart, Bolsward]
  • A. Bolsward chosen
    Bolsward is a historic Frisian city in the Netherlands known for its well-preserved medieval center and canals.
  • B. Guthega
    Guthega is a small alpine village and ski area in New South Wales, Australia, located within the Snowy Mountains and known for its access to snow sports and the nearby Guthega Dam.
  • C. Randaberg
    Randaberg is a coastal municipality in Rogaland county, Norway, situated just north of the city of Stavanger and known for its agriculture and scenic shoreline.
  • D. Splügen
    Splügen is a Swiss village in the canton of Graubünden, known as a historic transit point in the Alps near the Splügen Pass.
  • E. Muntendam
    Muntendam is a village in the Dutch province of Groningen, now administratively part of the municipality of Midden-Groningen.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42daca29081909837494d8d516634 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fd7ef048190b0828ec6ea0e119c completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:38 a.m.