Triple

T8977735
Position Surface form Disambiguated ID Type / Status
Subject Muttenz E214435 entity
Predicate hasTwinTown P919 FINISHED
Object Lommiswil E146224 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: Lommiswil | Statement: [Muttenz, hasTwinTown, Lommiswil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lommiswil
Context triple: [Muttenz, hasTwinTown, Lommiswil]
  • A. Lommiswil chosen
    Lommiswil is a small Swiss municipality located in the canton of Solothurn, known for its rural character and proximity to the Jura mountains.
  • B. Volketswil
    Volketswil is a municipality in the canton of Zurich in Switzerland, known for its residential character and proximity to the city of Zurich.
  • C. Attiswil
    Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
  • D. Uttwil
    Uttwil is a small Swiss municipality on the southern shore of Lake Constance in the canton of Thurgau.
  • E. Dallenwil
    Dallenwil is a Swiss municipality known for its alpine setting and outdoor recreation opportunities in the canton of Nidwalden.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a33c8481909125acf4b7f0a919 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc96e7eb48190a3df410b1544b997 completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:02 p.m.