Triple

T21832740
Position Surface form Disambiguated ID Type / Status
Subject Pfeffingen E539038 entity
Predicate hasLocalCouncil P3379 FINISHED
Object Gemeinderat Pfeffingen 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: Gemeinderat Pfeffingen | Statement: [Pfeffingen, hasLocalCouncil, Gemeinderat Pfeffingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gemeinderat Pfeffingen
Context triple: [Pfeffingen, hasLocalCouncil, Gemeinderat Pfeffingen]
  • A. Pfeffingen
    Pfeffingen is a former municipality in the Zollernalb district of Baden-Württemberg, Germany, that was incorporated into the town of Albstadt.
  • B. Pfeffingen chosen
    Pfeffingen is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, known for its rural character and proximity to the city of Basel.
  • C. Pfeffikon (LU)
    Pfeffikon (LU) is a village and former municipality in the canton of Lucerne, Switzerland, known for its rural setting in the Swiss Plateau region.
  • D. Bopfingen
    Bopfingen is a small historic town in eastern Baden-Württemberg, Germany, known for its scenic setting near the Ipf hill and its well-preserved medieval character.
  • E. Pfeffenhausen
    Pfeffenhausen is a market town in Lower Bavaria, Germany, known for its rural character and location within the Landshut district.
  • 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a4d2d0819088ded045caeab52d completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.