Triple

T7922274
Position Surface form Disambiguated ID Type / Status
Subject Landwasser E183972 entity
Predicate flowsNear P350 FINISHED
Object Filisur E455115 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: Filisur | Statement: [Landwasser, flowsNear, Filisur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Filisur
Context triple: [Landwasser, flowsNear, Filisur]
  • A. Filisur chosen
    Filisur is a picturesque Swiss village in the canton of Graubünden, known for its historic center and proximity to the famous Landwasser Viaduct on the Rhaetian Railway.
  • B. Flisa
    Flisa is a small town in Innlandet county, Norway, known as a local commercial and administrative center in the Glåmdalen region.
  • C. Firiplaka
    Firiplaka is a scenic, volcanic-sand beach on the Greek island of Milos, known for its colorful cliffs and clear turquoise waters.
  • D. Filitosa
    Filitosa is a renowned prehistoric archaeological site in southern Corsica, famous for its Bronze Age megalithic statues and stone structures.
  • E. Faleniu
    Faleniu is a village on the island of Tutuila in American Samoa, located inland not far from Pago Pago and its international airport.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a9499cc8190b6bd81f4625c77ab completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bf3c3288190ac3df917be92f9f8 completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:06 p.m.