Triple

T20811250
Position Surface form Disambiguated ID Type / Status
Subject Ettlingen E512308 entity
Predicate hasSubdivision P747 FINISHED
Object Oberweier E526510 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: Oberweier | Statement: [Ettlingen, hasSubdivision, Oberweier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oberweier
Context triple: [Ettlingen, hasSubdivision, Oberweier]
  • A. Oberweier chosen
    Oberweier is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany, known for its village character within the Murg Valley region.
  • B. Wiedlisbach
    Wiedlisbach is a historic small town in the canton of Bern, Switzerland, known for its well-preserved medieval old town and former status as a fortified market settlement.
  • C. Neulengbach
    Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
  • D. Obertraun
    Obertraun is a small Austrian village in the Salzkammergut region, known for its alpine scenery and proximity to the Dachstein mountains and Hallstatt.
  • E. Reichstett
    Reichstett is a small commune in northeastern France, situated near Strasbourg in the Grand Est region.
  • 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2d338ac819096d4a33de831609e completed April 21, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0997e866c88190b75c0600be7dbcc8 completed May 17, 2026, 10:26 a.m.
Created at: April 16, 2026, 12:40 p.m.