Triple

T21645831
Position Surface form Disambiguated ID Type / Status
Subject Eibach E534210 entity
Predicate mouthRiver P4359 FINISHED
Object Ergolz NE NERFINISHED

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: Ergolz | Statement: [Eibach, mouthRiver, Ergolz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ergolz
Context triple: [Eibach, mouthRiver, Ergolz]
  • A. Ergolz chosen
    Ergolz is a river in the Swiss canton of Basel-Landschaft that flows through the Jura region before joining the Rhine.
  • B. Ergisch
    Ergisch is a small Swiss mountain municipality in the canton of Valais, known for its alpine scenery and traditional rural character.
  • C. Ergste
    Ergste is a district of the town of Schwerte in North Rhine-Westphalia, Germany, known as a residential area on the outskirts of the Ruhr region.
  • D. Eltigen
    Eltigen is a coastal village on the Kerch Peninsula in Crimea, historically notable as a key site of Soviet amphibious landings during World War II.
  • E. Ergon
    Ergon is a crystalline alien creature from the Doctor Who universe, appearing as a monster in the Fifth Doctor era.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5394c570819081dbbe7e0f98f7d3 completed April 27, 2026, 12:16 p.m.
Created at: April 16, 2026, 6:35 p.m.