Triple

T17637560
Position Surface form Disambiguated ID Type / Status
Subject Duchy of Sulzbach E430136 entity
Predicate namedAfter P63 FINISHED
Object Sulzbach 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: Sulzbach | Statement: [Duchy of Sulzbach, namedAfter, Sulzbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sulzbach
Context triple: [Duchy of Sulzbach, namedAfter, Sulzbach]
  • A. Sulzbach chosen
    Sulzbach is a historic town in Bavaria, Germany, known for being the seat of the former County Palatine of Sulzbach.
  • B. Sulzbach
    Sulzbach is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany.
  • C. Schwarzbach
    Schwarzbach is a river in southwestern Germany that flows through the town of Zweibrücken in the state of Rhineland-Palatinate.
  • D. Spechbach
    Spechbach is a small municipality in the Rhine-Neckar district of Baden-Württemberg in southwestern Germany.
  • E. Breitenbach
    Breitenbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its location in the Thierstein district near the French border.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de1e0888190a3c8bbd451aed2fb completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.