Triple

T7783356
Position Surface form Disambiguated ID Type / Status
Subject Thur River E187178 entity
Predicate flowsNear P350 FINISHED
Object Andelfingen E479770 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: Andelfingen | Statement: [Thur River, flowsNear, Andelfingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andelfingen
Context triple: [Thur River, flowsNear, Andelfingen]
  • A. Andelfingen chosen
    Andelfingen is a municipality and regional center in the canton of Zürich in northern Switzerland, known for its rural character and vineyards along the Thur River.
  • B. Gerlafingen
    Gerlafingen is a municipality in the canton of Solothurn in Switzerland, known historically for its steel industry and residential character.
  • C. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • D. Kesswil
    Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
  • E. Niederbühl
    Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cadf1f9c648190ac2b06d0d54035ea completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb59e159a08190b0e16b7477f78051 completed March 31, 2026, 5:21 a.m.
Created at: March 30, 2026, 4:22 p.m.