Triple

T18463553
Position Surface form Disambiguated ID Type / Status
Subject SC E451097 entity
Predicate usedIn P98 FINISHED
Object Schwabach 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: Schwabach | Statement: [SC, usedIn, Schwabach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwabach
Context triple: [SC, usedIn, Schwabach]
  • A. Schwabach chosen
    Schwabach is a historic town in northern Bavaria, Germany, known for its traditional gold-beating craft and well-preserved old town.
  • B. Schwarzbach
    Schwarzbach is a river in southwestern Germany that flows through the town of Zweibrücken in the state of Rhineland-Palatinate.
  • C. Kraichbach
    Kraichbach is a small river in southwestern Germany that flows through the Kraichgau region before joining the Rhine.
  • D. Gaisbach
    Gaisbach is a village and district of the town of Oberkirch in the state of Baden-Württemberg in southwestern Germany.
  • E. Starkenbach
    Starkenbach is a small settlement in the Swiss municipality of Alt St. Johann, located in the canton of St. Gallen.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a8190508190a74b1d3482364905 completed April 19, 2026, 7:18 p.m.
Created at: April 10, 2026, 11:33 a.m.