Triple

T11737582
Position Surface form Disambiguated ID Type / Status
Subject Schwechat E279069 entity
Predicate namedAfter P63 FINISHED
Object Schwechat River E1020958 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: Schwechat River | Statement: [Schwechat, namedAfter, Schwechat River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwechat River
Context triple: [Schwechat, namedAfter, Schwechat River]
  • A. Schwechat River chosen
    The Schwechat River is a waterway in eastern Austria that flows through Lower Austria and the town of Schwechat before joining the Danube.
  • B. Saalach River
    The Saalach River is an Alpine river in Austria and Germany that flows through the spa town of Bad Reichenhall before joining the Salzach.
  • C. Wiese River
    The Wiese River is a tributary of the Rhine flowing through parts of Germany and Switzerland, including the municipality of Riehen near Basel.
  • D. Steinach river
    The Steinach river is a small watercourse in southern Germany that flows through the spa town of Bad Waldsee in the state of Baden-Württemberg.
  • E. Möll River
    The Möll River is a mountain river in the Austrian state of Carinthia, flowing through the Hohe Tauern region and known for its scenic alpine landscapes and outdoor recreation opportunities.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4ef1c4881909ad36dc27b1fe193 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6e2527570819092314ee0a678e53c completed May 3, 2026, 5:51 a.m.
Created at: April 8, 2026, 9:41 p.m.