Triple

T21487797
Position Surface form Disambiguated ID Type / Status
Subject Gotthard Road Tunnel E530158 entity
Predicate connects P390 FINISHED
Object Göschenen 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: Göschenen | Statement: [Gotthard Road Tunnel, connects, Göschenen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Göschenen
Context triple: [Gotthard Road Tunnel, connects, Göschenen]
  • A. Göschenen chosen
    Göschenen is a Swiss mountain village and railway junction in the canton of Uri, known as a gateway to the Gotthard region.
  • B. Eggenwil
    Eggenwil is a small municipality in the canton of Aargau in northern Switzerland, situated near the Reuss River and characterized by its rural, village-like setting.
  • C. Utzigen
    Utzigen is a small village in the municipality of Vechigen in the canton of Bern, Switzerland.
  • 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. Rifferswil
    Rifferswil is a small rural municipality in the canton of Zurich in Switzerland, known for its scenic landscape and traditional village character.
  • 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea390bd88190bc444e6af275f6e8 completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:22 p.m.