Triple

T1275092
Position Surface form Disambiguated ID Type / Status
Subject Basel-Landschaft E15795 entity
Predicate contains P35 FINISHED
Object Muttenz E214435 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: Muttenz | Statement: [Basel-Landschaft, contains, Muttenz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muttenz
Context triple: [Basel-Landschaft, contains, Muttenz]
  • A. Muttenz chosen
    Muttenz is a municipality in northern Switzerland that serves as a major suburban and industrial center in the canton of Basel-Landschaft, adjacent to the city of Basel.
  • B. Selzach
    Selzach is a Swiss municipality located in the canton of Solothurn, known for its rural character and proximity to the Jura Mountains.
  • C. Richterswil
    Richterswil is a picturesque municipality on the shores of Lake Zurich in the canton of Zurich, Switzerland.
  • D. Allschwil
    Allschwil is a suburban municipality near Basel in northwestern Switzerland, known for its residential character and role as a local economic center.
  • E. Pratteln
    Pratteln is a municipality in northern Switzerland that serves as a major residential and industrial center in the canton of Basel-Landschaft.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c06ee22081908141868b57596e35 completed March 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae0a9afd688190a69c79a0b6c5e872 completed March 8, 2026, 11:47 p.m.
Created at: March 1, 2026, 7:50 p.m.