Triple

T10690400
Position Surface form Disambiguated ID Type / Status
Subject Murtensee E251994 entity
Predicate hasInflow P967 FINISHED
Object Mentscha
Mentscha is a small river or stream that serves as one of the tributaries feeding into Lake Murten in Switzerland.
E879255 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: Mentscha | Statement: [Murtensee, hasInflow, Mentscha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mentscha
Context triple: [Murtensee, hasInflow, Mentscha]
  • A. Mannum
    Mannum is a historic riverside town in South Australia's Murraylands region, known for its paddle-steamer heritage and role in early river trade along the Murray River.
  • B. Menges
    Menges is a surname most notably associated with British cinematographer and film director Chris Menges.
  • C. Menczel
    Menczel is a variant spelling of the surname Menzel, which is of German origin and borne by various notable individuals.
  • D. Memleben
    Memleben is a historic village in Saxony-Anhalt, Germany, notable as a royal palace site of the Ottonian dynasty and the place where Emperor Otto I died.
  • E. Makatsch
    Makatsch is the surname of German actress and television presenter Heike Makatsch, known for her roles in films such as "Love Actually" and "Resident Evil."
  • 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: Mentscha
Triple: [Murtensee, hasInflow, Mentscha]
Generated description
Mentscha is a small river or stream that serves as one of the tributaries feeding into Lake Murten in Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mentscha
Target entity description: Mentscha is a small river or stream that serves as one of the tributaries feeding into Lake Murten in Switzerland.
  • A. Mannum
    Mannum is a historic riverside town in South Australia's Murraylands region, known for its paddle-steamer heritage and role in early river trade along the Murray River.
  • B. Menges
    Menges is a surname most notably associated with British cinematographer and film director Chris Menges.
  • C. Menczel
    Menczel is a variant spelling of the surname Menzel, which is of German origin and borne by various notable individuals.
  • D. Memleben
    Memleben is a historic village in Saxony-Anhalt, Germany, notable as a royal palace site of the Ottonian dynasty and the place where Emperor Otto I died.
  • E. Makatsch
    Makatsch is the surname of German actress and television presenter Heike Makatsch, known for her roles in films such as "Love Actually" and "Resident Evil."
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd1c0f0081908a6869ee756ec789 completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d988a59d6c8190a0e170acfb3af6da completed April 10, 2026, 11:32 p.m.
NEDg Description generation batch_69d98aeb82988190a17b009c74279423 completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98c2aae048190b348e5614ff23f03 completed April 10, 2026, 11:47 p.m.
Created at: April 8, 2026, 9:11 p.m.