Triple

T11646637
Position Surface form Disambiguated ID Type / Status
Subject Hauptallee E276791 entity
Predicate partOf P40 FINISHED
Object Wiener Prater E281300 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: Wiener Prater | Statement: [Hauptallee, partOf, Wiener Prater]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wiener Prater
Context triple: [Hauptallee, partOf, Wiener Prater]
  • A. Vienna Prater chosen
    Vienna Prater is a historic amusement park and large public leisure area in Vienna, Austria, best known for its iconic Giant Ferris Wheel and traditional fairground attractions.
  • B. Lainzer Tiergarten
    Lainzer Tiergarten is a historic wildlife preserve and former imperial hunting ground on the western edge of Vienna, known for its extensive forests, hiking trails, and free-roaming wild boar and deer.
  • C. Praza de Praterías
    Praza de Praterías is a historic square in Santiago de Compostela’s old town, known for its Baroque architecture and its location beside the cathedral.
  • D. Neumarkt am Wallersee
    Neumarkt am Wallersee is a small Austrian town in the state of Salzburg, known for its scenic location on Lake Wallersee and its role as a local commercial and recreational center.
  • E. Bundesplatz
    Bundesplatz is a public square and transport hub in Berlin that serves as an important interchange point for city and suburban rail services.
  • 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_69ef82b8b1f48190aa6c78044d3570d1 completed April 27, 2026, 3:37 p.m.
Created at: April 8, 2026, 9:39 p.m.