Triple

T8259533
Position Surface form Disambiguated ID Type / Status
Subject Danube River at Donauwörth E193157 entity
Predicate followsThrough P2127 FINISHED
Object Donauwörth urban area 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 urban area | Statement: [Danube River at Donauwörth, followsThrough, Donauwörth urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donauwörth urban area
Context triple: [Danube River at Donauwörth, followsThrough, Donauwörth urban area]
  • A. Donauwörth chosen
    Donauwörth is a historic Bavarian town in southern Germany situated at the confluence of the Danube and Lech rivers.
  • B. Neustadtl an der Donau
    Neustadtl an der Donau is a small Austrian town on the Danube River, historically noted as the place where the Habsburg field marshal Ernst Gideon von Laudon died.
  • C. Straubing
    Straubing is a Bavarian town on the Danube River known for its historic city center and role as a regional economic and educational hub.
  • D. Amberg
    Amberg is a historic town in Bavaria, Germany, known for its well-preserved medieval old town and former role as a regional administrative and trading center.
  • E. Rosenheim
    Rosenheim is a town in Upper Bavaria, Germany, known as a regional economic and transportation hub near the Alps.
  • 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_69ca82dfad9c8190b8cd18fb89f50f40 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb793479d08190bd0dd8740bebff95 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3564c8508190a1c6575756043aa1 completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 5:49 p.m.