Triple

T14479734
Position Surface form Disambiguated ID Type / Status
Subject Egon Schiele E359067 entity
Predicate placeOfBirth P1 FINISHED
Object Tulln an der Donau E359067 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: Tulln an der Donau | Statement: [Egon Schiele, placeOfBirth, Tulln an der Donau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tulln an der Donau
Context triple: [Egon Schiele, placeOfBirth, Tulln an der Donau]
  • A. Tulln an der Donau chosen
    Tulln an der Donau is an Austrian town on the Danube River, known for its rich history and as the birthplace of painter Egon Schiele.
  • B. Traunkirchen
    Traunkirchen is a picturesque lakeside village in Upper Austria, known for its scenic setting on Lake Traunsee and historic pilgrimage church.
  • C. Krems an der Donau
    Krems an der Donau is a historic Austrian city on the Danube River, renowned for its well-preserved medieval old town and its role as a gateway to the Wachau wine region.
  • D. Gmunden
    Gmunden is a picturesque town in Upper Austria known for its lakeside setting on the Traunsee and its historic ceramics industry.
  • E. Wiener Neustadt
    Wiener Neustadt is a historic city in Lower Austria known as a former imperial residence and military stronghold south of Vienna.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924a576c819098351efabdb779b1 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8aaaf74481909aeda3627bea39a9 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:20 a.m.