Triple

T13659345
Position Surface form Disambiguated ID Type / Status
Subject Dietkirchen E326945 entity
Predicate locatedOn P40 FINISHED
Object Lahn E80767 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: Lahn | Statement: [Dietkirchen, locatedOn, Lahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lahn
Context triple: [Dietkirchen, locatedOn, Lahn]
  • A. Lahn chosen
    The Lahn is a river in western Germany that flows through the states of North Rhine-Westphalia, Hesse, and Rhineland-Palatinate before joining the Rhine.
  • B. Würm River
    The Würm River is a small river in Bavaria, Germany, known for flowing north from Lake Starnberg through towns such as Gauting and Starnberg before joining the Amper River.
  • C. Saale
    The Saale is a major river in central Germany that flows through the states of Thuringia, Saxony-Anhalt, and Bavaria before joining the Elbe.
  • D. Isar River
    The Isar River is a major river in Austria and Germany that flows through the Alps and the city of Munich before joining the Danube.
  • E. Lauter River
    The Lauter River is a small river in northeastern France and southwestern Germany that flows through the town of Wissembourg before joining the Rhine.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc61f0d808190b1cd2a6ba0d930eb completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef5a0824819097e41163e3092b68 completed May 9, 2026, 8:24 a.m.
Created at: April 9, 2026, 9:52 p.m.