Triple

T15412364
Position Surface form Disambiguated ID Type / Status
Subject Neusiedlersee E368624 entity
Predicate grapeVariety P975 FINISHED
Object Muskat-Ottonel E686023 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: Muskat-Ottonel | Statement: [Neusiedlersee, grapeVariety, Muskat-Ottonel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muskat-Ottonel
Context triple: [Neusiedlersee, grapeVariety, Muskat-Ottonel]
  • A. Muskateller chosen
    Muskateller is a highly aromatic white wine grape variety, closely related to the Muscat family, known for its intense floral and grapey flavors.
  • B. Looz
    Looz is the historical name of the medieval County of Loon, a former principality in what is now eastern Belgium.
  • C. Tartegnin
    Tartegnin is a small wine-producing municipality in the canton of Vaud in western Switzerland, situated above Lake Geneva in the La Côte region.
  • D. Bougros
    Bougros is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, France, known for producing high-quality Chardonnay wines.
  • E. Rosewater
    Rosewater is a 2014 biographical drama film directed by Jon Stewart, based on Iranian-Canadian journalist Maziar Bahari’s memoir about his imprisonment and interrogation in Iran.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea600b48190a3dbca1a68a2a1cd completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a754d1881909ed322479bab460d completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:20 a.m.