Triple

T19786547
Position Surface form Disambiguated ID Type / Status
Subject Sarganserland region E475284 entity
Predicate contains P35 FINISHED
Object Sargans 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: Sargans | Statement: [Sarganserland region, contains, Sargans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sargans
Context triple: [Sarganserland region, contains, Sargans]
  • A. Sargans chosen
    Sargans is a town in the canton of St. Gallen in northeastern Switzerland, known for its historic castle and strategic location at a major Alpine transit junction.
  • B. Sarganserland region
    The Sarganserland region is an area in eastern Switzerland known for its Alpine landscapes, lakes, and traditional Swiss villages.
  • C. Hawise
    Hawise is a medieval European female given name borne by several noblewomen in England and France.
  • D. Machanshyre
    Machanshyre is a historical Scottish territorial division associated with the lordship encompassing the areas of Machanshyre and Polmont.
  • E. Borrisokane
    Borrisokane is a small rural town in northern County Tipperary, Ireland, known for its agricultural surroundings and traditional Irish community 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65387d3348190a31f9c2f9bc1c6d9 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.