Triple

T16482365
Position Surface form Disambiguated ID Type / Status
Subject Mastrils E400351 entity
Predicate district P2709 FINISHED
Object Landquart District E1216987 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: Landquart District | Statement: [Mastrils, district, Landquart District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landquart District
Context triple: [Mastrils, district, Landquart District]
  • A. Bremgarten District
    Bremgarten District is an administrative district in the Swiss canton of Aargau, known for its historic town of Bremgarten and its location along the Reuss River.
  • B. Landquart Region chosen
    Landquart Region is an administrative district in the canton of Graubünden, Switzerland, comprising several municipalities including Fläsch.
  • C. Visp District
    Visp District is an administrative district in the canton of Valais in southwestern Switzerland, known for encompassing major Alpine tourist destinations such as Zermatt.
  • D. Liestal District
    Liestal District is an administrative district in the canton of Basel-Landschaft in Switzerland, encompassing municipalities such as Pratteln and the town of Liestal.
  • E. Nidau District
    Nidau District is an administrative district in the canton of Bern, Switzerland, encompassing several municipalities along the shores of Lake Biel.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e03643881908b16ddb9004af5d0 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00607aafa48190929250a879c602ca completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:13 a.m.