Triple

T10896923
Position Surface form Disambiguated ID Type / Status
Subject Gouet E257333 entity
Predicate alsoKnownAs P39 FINISHED
Object Heunisch Weiss E255216 NE 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: Heunisch Weiss | Statement: [Gouet, alsoKnownAs, Heunisch Weiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heunisch Weiss
Context triple: [Gouet, alsoKnownAs, Heunisch Weiss]
  • A. Heunisch Weiss chosen
    Heunisch Weiss is an ancient European white grape variety historically important as a parent of many classic wine grapes, including Chardonnay and Riesling.
  • B. Holzweißig
    Holzweißig is a former municipality in Saxony-Anhalt, Germany, that now forms part of the industrial town of Bitterfeld-Wolfen.
  • C. Weihmichl
    Weihmichl is a small municipality in Lower Bavaria, Germany, known for its rural character and proximity to the city of Landshut.
  • D. Oberkrämer
    Oberkrämer is a rural municipality in the Oberhavel district of Brandenburg, Germany, known for its villages, agricultural landscape, and proximity to Berlin.
  • E. Weißgerber
    Weißgerber is a neighborhood in Vienna’s 3rd district, known for its historic architecture and the famous Hundertwasserhaus.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75d02e4c88190b8286078e90bf913 completed April 9, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e15519e620819090e492861de6a567 completed April 16, 2026, 9:31 p.m.
Created at: April 8, 2026, 9:21 p.m.