Triple

T17470736
Position Surface form Disambiguated ID Type / Status
Subject Wädenswil E425405 entity
Predicate hasWineGrowingTradition P25137 FINISHED
Object true LITERAL FINISHED

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: true | Statement: [Wädenswil, hasWineGrowingTradition, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWineGrowingTradition
Context triple: [Wädenswil, hasWineGrowingTradition, true]
  • A. hasWineMakingTradition
    Indicates that a place or group has an established, culturally recognized history and practice of producing wine.
  • B. hasVineyards chosen
    Indicates that one entity possesses, contains, or is associated with vineyards used for growing grapevines.
  • C. nationalWineTradition
    Indicates that a country or region has an established cultural and historical practice of producing, consuming, and valuing wine.
  • D. hasWinemakingFacility
    Indicates that an entity possesses or is associated with a facility where winemaking activities are carried out.
  • E. producesWine
    Indicates that one entity creates or manufactures wine as a product.
  • F. None of above.

Provenance (3 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451abab908190b6d9d8a64f7c2ea3 completed April 19, 2026, 3:53 a.m.
PD Predicate disambiguation batch_69e3b4f341c88190adabe526d8903b05 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:47 a.m.