Triple

T21518646
Position Surface form Disambiguated ID Type / Status
Subject Leuzigen (BE) E530911 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Arch 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: Arch | Statement: [Leuzigen (BE), hasNeighboringMunicipality, Arch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arch
Context triple: [Leuzigen (BE), hasNeighboringMunicipality, Arch]
  • A. Arch chosen
    Arch is a municipality in the canton of Bern in Switzerland, situated in the Seeland administrative region.
  • B. Ark
    Ark is a hard science fiction novel by Stephen Baxter that explores humanity's desperate attempts to escape a flooded Earth via interstellar ark ships.
  • C. Ark
    Ark was one of the two ships that carried the first group of English settlers to establish the Maryland colony in North America in the 17th century.
  • D. Ark
    Ark is the massive, generation-starship habitat that serves as the primary setting of the 1970s science fiction television series "The Starlost."
  • E. Ark
    Ark is a graphical file archiver and compression utility for the KDE desktop environment that allows users to create, view, and extract archives in various formats.
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee81438cbc8190aba0f546b27eb2a4 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 6:25 p.m.