Triple

T12722493
Position Surface form Disambiguated ID Type / Status
Subject S5 line E304019 entity
Predicate passesThrough P225 FINISHED
Object Seulberg E907962 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: Seulberg | Statement: [S5 line, passesThrough, Seulberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seulberg
Context triple: [S5 line, passesThrough, Seulberg]
  • A. Seulberg chosen
    Seulberg is a district of the town of Friedrichsdorf in the Hochtaunus region of Hesse, Germany.
  • B. Seeler
    Seeler is a German surname most famously associated with Uwe Seeler, one of Germany’s greatest footballers.
  • C. Menzel
    Menzel is a locality or district that forms part of the town of Rüthen in North Rhine-Westphalia, Germany.
  • D. Menzel
    Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
  • E. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964133fe481909a44b8159ab8997b completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c841edc81909147d30c51471c47 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:24 p.m.