Triple

T20838232
Position Surface form Disambiguated ID Type / Status
Subject Schutterwald E513018 entity
Predicate river P165 FINISHED
Object Schutter 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: Schutter | Statement: [Schutterwald, river, Schutter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schutter
Context triple: [Schutterwald, river, Schutter]
  • A. Schutter chosen
    The Schutter is a river in southwestern Germany that flows through the state of Baden-Württemberg and is a tributary of the Kinzig.
  • B. Schunter
    Schunter is a river in Lower Saxony, Germany, that flows through the Braunschweig region before joining the Oker.
  • C. Schultheiss
    Schultheiss is a German surname historically derived from a medieval administrative title for a local official or magistrate.
  • D. Schröck
    Schröck is a German surname and place name that appears as a variant spelling of Schrock.
  • E. schutterij
    The schutterij was a civic militia organization in the Low Countries, composed of armed citizens responsible for local defense and public order, especially prominent in the early modern period.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c32928788190be8ca57923eefd7e completed April 21, 2026, 12:22 a.m.
Created at: April 16, 2026, 12:42 p.m.