Triple

T9146290
Position Surface form Disambiguated ID Type / Status
Subject Lake Starnberg E219462 entity
Predicate primaryInflow P4496 FINISHED
Object Lüßbach E213274 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: Lüßbach | Statement: [Lake Starnberg, primaryInflow, Lüßbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lüßbach
Context triple: [Lake Starnberg, primaryInflow, Lüßbach]
  • A. Lüßbach chosen
    Lüßbach is a small river in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg.
  • B. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • C. Ödsbach
    Ödsbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany, known for its scenic vineyards and Black Forest landscape.
  • D. Burtenbach
    Burtenbach is a municipality in the Bavarian region of Swabia in southern Germany.
  • E. Hammersbach
    Hammersbach is a village in the Bavarian Alps of Germany that serves as a popular gateway for hiking and mountaineering routes into the nearby mountains, including the Höllental valley.
  • 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca917914c8190b97ca9169bbd1e5e completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05bfe53808190ac4cb24823b886d3 completed April 4, 2026, 12:31 a.m.
Created at: March 30, 2026, 7:20 p.m.