Triple

T19968248
Position Surface form Disambiguated ID Type / Status
Subject Eckersmühlen E479999 entity
Predicate partOf P40 FINISHED
Object town of Roth 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: town of Roth | Statement: [Eckersmühlen, partOf, town of Roth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Roth
Context triple: [Eckersmühlen, partOf, town of Roth]
  • A. Roth (town) chosen
    Roth is a small town in Bavaria, Germany, known for its historic center and proximity to Nuremberg.
  • B. municipality of Roth
    The municipality of Roth is a local administrative town in Bavaria, Germany, known for its historical heritage and regional governance role.
  • C. town council of Roth
    The town council of Roth is the elected municipal governing body responsible for local legislation, administration, and policy decisions in the town of Roth, Germany.
  • D. Roth town administration
    Roth town administration is the municipal authority responsible for local governance and public services in the town of Roth, Germany.
  • E. Roth (Eichsfeld)
    Roth (Eichsfeld) is a small village in the Eichsfeld district of Thuringia, Germany.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc6b0208190b1ae30be95712326 completed April 20, 2026, 5 p.m.
Created at: April 10, 2026, 1:54 p.m.