Triple

T12446878
Position Surface form Disambiguated ID Type / Status
Subject Sarstedt E297421 entity
Predicate governingBody P46 FINISHED
Object Sarstedt town council E297421 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: Sarstedt town council | Statement: [Sarstedt, governingBody, Sarstedt town council]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarstedt town council
Context triple: [Sarstedt, governingBody, Sarstedt town council]
  • A. Sarstedt chosen
    Sarstedt is a small town in Lower Saxony, Germany, situated near Hanover and known for its location along the River Leine.
  • B. Town Council of Stem
    The Town Council of Stem is the elected municipal legislative body responsible for setting local policies, passing ordinances, and overseeing governance for the town of Stem, North Carolina.
  • C. Geita Town Council
    Geita Town Council is the local government authority responsible for administering and providing public services in Geita town in northwestern Tanzania.
  • D. Goldenstedt
    Goldenstedt is a municipality in Lower Saxony, Germany, known for its rural character and location within the District of Vechta.
  • E. Stuttgart Gemeinderat
    Stuttgart Gemeinderat is the city council and central municipal decision-making body of Stuttgart, Germany.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d90f18c819083a36ff4b9be4a20 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f132d048190b58a8381bdc74cad completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.