Triple

T19421262
Position Surface form Disambiguated ID Type / Status
Subject Franekeradeel E485857 entity
Predicate borderedBy P224 FINISHED
Object Harlingen municipality NE NERFINISHED

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: Harlingen municipality | Statement: [Franekeradeel, borderedBy, Harlingen municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harlingen municipality
Context triple: [Franekeradeel, borderedBy, Harlingen municipality]
  • A. Harlingen chosen
    Harlingen is a historic port city in the Dutch province of Friesland, known for its maritime heritage and traditional canalside architecture.
  • B. Harlingen
    Harlingen is a mid-sized city in the Rio Grande Valley of South Texas known as a regional hub for transportation, healthcare, and commerce near the U.S.–Mexico border.
  • C. Heiningen
    Heiningen is a small municipality in the German state of Baden-Württemberg, historically notable as the birthplace of Archbishop-Elector Gebhard Truchsess von Waldburg.
  • D. Gailingen
    Gailingen is a village in the German municipality of Gailingen am Hochrhein in the state of Baden-Württemberg, near the Swiss border along the High Rhine.
  • E. Lenzinghausen
    Lenzinghausen is a district or locality within the town of Spenge in the German state of North Rhine-Westphalia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63214d768819082129100d7116521 completed April 20, 2026, 2:03 p.m.
Created at: April 10, 2026, 1:37 p.m.