Triple

T12102005
Position Surface form Disambiguated ID Type / Status
Subject Leopoldine Wing E288212 entity
Predicate region P40 FINISHED
Object Vienna federal state E279838 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: Vienna federal state | Statement: [Leopoldine Wing, region, Vienna federal state]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vienna federal state
Context triple: [Leopoldine Wing, region, Vienna federal state]
  • A. Vienna (state) chosen
    Vienna (state) is Austria’s smallest federal state and its capital city, serving as the country’s political, cultural, and economic center.
  • B. Austria Wien
    Austria Wien is a major Viennese football club and one of Austria’s most successful and historic teams.
  • C. Upper Austria
    Upper Austria is a federal state in northern Austria known for its industrial centers, scenic Alpine and lake regions, and capital city Linz on the Danube River.
  • D. Burgenland
    Burgenland is the easternmost and least populous state of Austria, known for its wine regions, flat landscapes, and proximity to Hungary.
  • E. Lower Austria
    Lower Austria is the northeastern federal state of Austria, known for its historic role as a frontier region of the Roman Empire and its diverse landscapes ranging from the Danube Valley to the foothills of the Alps.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9155576b48190849f0c3e079a935f completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63ee0597c81909ad679a1ddece887 completed May 2, 2026, 6:13 p.m.
Created at: April 8, 2026, 9:48 p.m.