Triple

T16808260
Position Surface form Disambiguated ID Type / Status
Subject Federal Roads Office E408533 entity
Predicate headquartersLocation P62 FINISHED
Object Ittigen E399783 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: Ittigen | Statement: [Federal Roads Office, headquartersLocation, Ittigen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ittigen
Context triple: [Federal Roads Office, headquartersLocation, Ittigen]
  • A. Ittigen chosen
    Ittigen is a municipality in the canton of Bern in Switzerland that functions largely as a suburban community within the greater Bern urban region.
  • B. Ingessana
    The Ingessana are an indigenous ethnic group of the southeastern Sudanese highlands, known for their distinct language, agro-pastoral lifestyle, and history of resistance to external domination.
  • C. Itter
    The Itter is a river in southwestern Germany that flows through the Odenwald region and serves as a tributary of the Neckar.
  • D. Itzgrund
    Itzgrund is a small municipality in the Bavarian region of Germany, known for its rural character and location in the valley of the Itz River.
  • E. Tägerwilen
    Tägerwilen is a municipality in the canton of Thurgau in northeastern Switzerland, located near Lake Constance and the German border.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2cde590819080dc474292b023ee completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b28f125481909664363904f4c031 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:22 a.m.