Triple

T1275070
Position Surface form Disambiguated ID Type / Status
Subject Basel-Landschaft E15795 entity
Predicate largestCity P235 FINISHED
Object Muttenz
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.
 E214435 NE FINISHED

How this triple was built (4 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, largestCity, Muttenz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Muttenz
Context triple: [Basel-Landschaft, largestCity, Muttenz]
  • A. Selzach
    Selzach is a Swiss municipality located in the canton of Solothurn, known for its rural character and proximity to the Jura Mountains.
  • B. Richterswil
    Richterswil is a picturesque municipality on the shores of Lake Zurich in the canton of Zurich, Switzerland.
  • C. Allschwil
    Allschwil is a suburban municipality near Basel in northwestern Switzerland, known for its residential character and role as a local economic center.
  • D. Niederbipp
    Niederbipp is a municipality in the canton of Solothurn in northwestern Switzerland, situated in the Oberaargau region near the Jura Mountains.
  • E. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Muttenz
Triple: [Basel-Landschaft, largestCity, Muttenz]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Muttenz
Target entity description: 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.
  • A. Selzach
    Selzach is a Swiss municipality located in the canton of Solothurn, known for its rural character and proximity to the Jura Mountains.
  • B. Richterswil
    Richterswil is a picturesque municipality on the shores of Lake Zurich in the canton of Zurich, Switzerland.
  • C. Allschwil
    Allschwil is a suburban municipality near Basel in northwestern Switzerland, known for its residential character and role as a local economic center.
  • D. Niederbipp
    Niederbipp is a municipality in the canton of Solothurn in northwestern Switzerland, situated in the Oberaargau region near the Jura Mountains.
  • E. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • F. None of above. chosen

Provenance (5 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_69adf3ab00888190afc7c54d9b89ae3b completed March 8, 2026, 10:09 p.m.
NEDg Description generation batch_69adf452ab488190b5d57e3b04159408 completed March 8, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69adf4bdb6dc8190964e5e78abfb8e40 completed March 8, 2026, 10:14 p.m.
Created at: March 1, 2026, 7:50 p.m.