Triple

T20499006
Position Surface form Disambiguated ID Type / Status
Subject Triesenberg E503251 entity
Predicate capitalOfMunicipality P15510 FINISHED
Object Triesenberg (village) 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: Triesenberg (village) | Statement: [Triesenberg, capitalOfMunicipality, Triesenberg (village)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Triesenberg (village)
Context triple: [Triesenberg, capitalOfMunicipality, Triesenberg (village)]
  • A. Triesenberg chosen
    Triesenberg is a mountainous municipality in Liechtenstein known for its traditional Walser culture and scenic alpine landscapes.
  • B. Triesenberg German
    Triesenberg German is a distinctive High Alemannic Walser dialect spoken in the municipality of Triesenberg in Liechtenstein.
  • C. Eggersriet village
    Eggersriet village is a small rural settlement in the municipality of Eggersriet in the canton of St. Gallen, Switzerland.
  • D. Kirchstetten village
    Kirchstetten village is a small rural settlement in Lower Austria known for its traditional Austrian countryside character and local community life.
  • E. Landersdorf
    Landersdorf is a locality within the city of Krems an der Donau in Lower Austria, known as part of its surrounding wine-growing and rural area.
  • 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbff210819089900e9a35911f48 completed April 20, 2026, 9:38 p.m.
Created at: April 16, 2026, 11:35 a.m.