Triple

T4046363
Position Surface form Disambiguated ID Type / Status
Subject Longines E84075 entity
Predicate headquartersLocation P62 FINISHED
Object Saint-Imier, Switzerland E77641 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: Saint-Imier, Switzerland | Statement: [Longines, headquartersLocation, Saint-Imier, Switzerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint-Imier, Switzerland
Context triple: [Longines, headquartersLocation, Saint-Imier, Switzerland]
  • A. Saint-Imier chosen
    Saint-Imier is a Swiss town in the Jura region known for its long tradition of watchmaking and as the birthplace of several renowned Swiss watch brands.
  • B. Aigle, Switzerland
    Aigle, Switzerland is a small town in the canton of Vaud known as an international hub for professional cycling and sports administration.
  • C. La Sarraz, Switzerland
    La Sarraz, Switzerland is a small historic town in the canton of Vaud known for its medieval castle and its role in early 20th-century modern architecture movements.
  • D. Valais, Switzerland
    Valais, Switzerland is a mountainous canton in southwestern Switzerland known for its Alpine peaks, glaciers, vineyards, and the upper Rhône Valley.
  • E. Winterthur, Switzerland
    Winterthur, Switzerland is a city in the canton of Zurich known for its rich industrial heritage, vibrant cultural scene, and numerous museums and gardens.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb6135b481909d2be890a2140ff9 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f15f0088190b2ec453183f0ca7f completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:37 p.m.