Triple

T15338803
Position Surface form Disambiguated ID Type / Status
Subject Drau E366735 entity
Predicate flowsThroughCity P10456 FINISHED
Object Spittal an der Drau E824007 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: Spittal an der Drau | Statement: [Drau, flowsThroughCity, Spittal an der Drau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spittal an der Drau
Context triple: [Drau, flowsThroughCity, Spittal an der Drau]
  • A. Spittal an der Drau chosen
    Spittal an der Drau is a town in the Austrian state of Carinthia, situated on the River Drau and known as a regional commercial and cultural center.
  • B. Sankt Veit an der Glan
    Sankt Veit an der Glan is a historic town in the Austrian state of Carinthia, known for its medieval architecture and role as a former ducal residence.
  • C. Traunkirchen
    Traunkirchen is a picturesque lakeside village in Upper Austria, known for its scenic setting on Lake Traunsee and historic pilgrimage church.
  • D. Vöcklabruck
    Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
  • E. Klosterneuburg
    Klosterneuburg is an Austrian town near Vienna, known for its historic Augustinian monastery and wine-growing tradition along the Danube River.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e12eb7c8190944a260aa1aa9156 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8757325c8190ad97f50368862ca5 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 3:17 a.m.