Triple

T21016370
Position Surface form Disambiguated ID Type / Status
Subject Aesch (Basel-Landschaft) E517687 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Hochwald 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: Hochwald | Statement: [Aesch (Basel-Landschaft), hasNeighboringMunicipality, Hochwald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hochwald
Context triple: [Aesch (Basel-Landschaft), hasNeighboringMunicipality, Hochwald]
  • A. Hochwald
    Hochwald is a forested upland region in the Hunsrück mountains of western Germany, known for its high plateaus and natural landscapes.
  • B. Hochwald chosen
    Hochwald is a Swiss municipality in the canton of Solothurn, known for its rural character and location in the Jura foothills.
  • C. Habichtswald
    Habichtswald is a low mountain range and forested natural area in central Germany, known for its scenic landscapes and hiking trails near the city of Kassel.
  • D. Sachsenwald
    Sachsenwald is a large forested area in northern Germany, east of Hamburg, known as one of the region’s most extensive and historically significant woodlands.
  • E. Rügenwalde
    Rügenwalde is a historic town in present-day Poland, known for its medieval heritage and former status as an important urban center in the Duchy of Pomerania.
  • 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc5968c081909ae6407199858aba completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:54 p.m.