Triple

T13754613
Position Surface form Disambiguated ID Type / Status
Subject Donau-Ries E330443 entity
Predicate capital P234 FINISHED
Object Donauwörth E368758 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: Donauwörth | Statement: [Donau-Ries, capital, Donauwörth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donauwörth
Context triple: [Donau-Ries, capital, Donauwörth]
  • A. Donauwörth chosen
    Donauwörth is a historic Bavarian town in southern Germany situated at the confluence of the Danube and Lech rivers.
  • B. Wörth
    Wörth is the historical name of Roseninsel, a small, culturally significant island in Lake Starnberg in Bavaria, Germany.
  • C. Wörth an der Donau
    Wörth an der Donau is a small Bavarian town on the Danube River in southeastern Germany.
  • D. Schwarzach
    Schwarzach is a municipality in the Straubing-Bogen district of Lower Bavaria, Germany, known for its rural setting in the Bavarian Forest region.
  • E. Schwarzach
    Schwarzach is a municipality in the Austrian state of Vorarlberg, located in the district of Bregenz.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02179c948190a652cc8c586e418f completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2ce12e78819080b3fe19c57ef3ef completed May 9, 2026, 12:47 p.m.
Created at: April 9, 2026, 10:09 p.m.