Triple

T18460845
Position Surface form Disambiguated ID Type / Status
Subject Unterland E451026 entity
Predicate containsMunicipality P852 FINISHED
Object Schellenberg 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: Schellenberg | Statement: [Unterland, containsMunicipality, Schellenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schellenberg
Context triple: [Unterland, containsMunicipality, Schellenberg]
  • A. Schellenberg chosen
    Schellenberg is a small municipality in Liechtenstein known for its historic sites and scenic Alpine surroundings.
  • B. Seelenberg
    Seelenberg is a small village that forms one of the local subdivisions of the municipality of Schmitten in Germany.
  • C. Kallenbach
    Kallenbach is a German-language surname most notably borne by Hermann Kallenbach, a close associate of Mahatma Gandhi.
  • D. Belpberg
    Belpberg is a small former municipality in the canton of Bern, Switzerland, situated on a plateau above the Gürbetal valley and known for its rural, scenic landscape.
  • E. Kleihues
    Kleihues is a German surname most notably associated with architect Josef Paul Kleihues, known for his influential postmodern and urban reconstruction projects.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a7e65bc8190a824bce5b322c3de completed April 19, 2026, 7:18 p.m.
Created at: April 10, 2026, 11:33 a.m.