Triple

T11646781
Position Surface form Disambiguated ID Type / Status
Subject Ernst Happel Stadium E276794 entity
Predicate partOf P40 FINISHED
Object Prater park area E56329 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: Prater park area | Statement: [Ernst Happel Stadium, partOf, Prater park area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prater park area
Context triple: [Ernst Happel Stadium, partOf, Prater park area]
  • A. Prater chosen
    Prater is a large public park and historic amusement area in Vienna, Austria, best known for its iconic Giant Ferris Wheel and extensive green spaces.
  • B. Prater Tower
    Prater Tower is a prominent amusement ride and observation tower located in Vienna’s historic Prater park.
  • C. Duden Park
    Duden Park is a public green space in the Brussels municipality of Uccle, known for its wooded areas, walking paths, and recreational facilities.
  • D. Glasgow Park
    Glasgow Park is a popular public park in New Castle County, Delaware, known for its walking trails, playgrounds, and open recreational spaces.
  • E. Dock Park
    Dock Park is a riverside public park in Dumfries, Scotland, known for its green spaces, play areas, and leisure facilities along the River Nith.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a2cc8bfc8190a063cc37de9596a9 completed April 10, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87f903c48190b9055ad4cfebb1e1 completed April 26, 2026, 9:47 p.m.
Created at: April 8, 2026, 9:39 p.m.