Triple

T5372432
Position Surface form Disambiguated ID Type / Status
Subject Wiese E108881 entity
Predicate hasPart P35 FINISHED
Object Little Wiese
Little Wiese is a smaller section or subdivision of the Wiese river system in Central Europe.
 E516543 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: Little Wiese | Statement: [Wiese, hasPart, Little Wiese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Little Wiese
Context triple: [Wiese, hasPart, Little Wiese]
  • A. Weisselberg
    Weisselberg is a surname most prominently associated with Allen Weisselberg, the longtime chief financial officer of the Trump Organization.
  • B. Wiesener
    Wiesener is a surname, likely of German origin, that serves as a variant spelling of the name Wiesner.
  • C. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • D. Schönbuch
    Schönbuch is a large forest and nature reserve in the German state of Baden-Württemberg, known for its extensive woodlands, wildlife, and recreational hiking areas.
  • E. Kleine Brenz
    Kleine Brenz is a small river in southern Germany that serves as a tributary of the Brenz.
  • 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: Little Wiese
Triple: [Wiese, hasPart, Little Wiese]
Generated description
Little Wiese is a smaller section or subdivision of the Wiese river system in Central Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Little Wiese
Target entity description: Little Wiese is a smaller section or subdivision of the Wiese river system in Central Europe.
  • A. Weisselberg
    Weisselberg is a surname most prominently associated with Allen Weisselberg, the longtime chief financial officer of the Trump Organization.
  • B. Wiesener
    Wiesener is a surname, likely of German origin, that serves as a variant spelling of the name Wiesner.
  • C. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • D. Schönbuch
    Schönbuch is a large forest and nature reserve in the German state of Baden-Württemberg, known for its extensive woodlands, wildlife, and recreational hiking areas.
  • E. Kleine Brenz
    Kleine Brenz is a small river in southern Germany that serves as a tributary of the Brenz.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86aa0f5c8190ba96554e75696f8e completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf334ac2548190ad672943ac138373 completed March 22, 2026, 12:09 a.m.
NEDg Description generation batch_69bf33cc90b48190ae84e51763d25e16 completed March 22, 2026, 12:11 a.m.
NED2 Entity disambiguation (via description) batch_69bf340c4b708190abb9be455f6dacb2 completed March 22, 2026, 12:13 a.m.
Created at: March 20, 2026, 2:02 p.m.