Triple

T3917457
Position Surface form Disambiguated ID Type / Status
Subject Murg E88875 entity
Predicate hasTributary P415 FINISHED
Object Schwarzenbach
Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
E421255 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: Schwarzenbach | Statement: [Murg, hasTributary, Schwarzenbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwarzenbach
Context triple: [Murg, hasTributary, Schwarzenbach]
  • A. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • B. Sasbach
    Sasbach is a municipality in southwestern Germany near the Rhine, historically noted as the battlefield where the French marshal Turenne was killed in 1675.
  • C. Wahnbach
    Wahnbach is a small river in North Rhine-Westphalia, Germany, known for feeding the Wahnbach Dam and serving as a tributary of the Sieg.
  • D. Gernsbach
    Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
  • E. Lüßbach
    Lüßbach is a small river in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg.
  • 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: Schwarzenbach
Triple: [Murg, hasTributary, Schwarzenbach]
Generated description
Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schwarzenbach
Target entity description: Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
  • A. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • B. Sasbach
    Sasbach is a municipality in southwestern Germany near the Rhine, historically noted as the battlefield where the French marshal Turenne was killed in 1675.
  • C. Wahnbach
    Wahnbach is a small river in North Rhine-Westphalia, Germany, known for feeding the Wahnbach Dam and serving as a tributary of the Sieg.
  • D. Gernsbach
    Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
  • E. Lüßbach
    Lüßbach is a small river in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg.
  • 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_69aed955229881909e85e73ffab1d343 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed5797508190adaddb84575d9bb3 completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b595f59e908190a45b3b9c767974fb completed March 14, 2026, 5:08 p.m.
NEDg Description generation batch_69b596854e1881908450d50c3f1d681f completed March 14, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_69b59762105481908e3534600486b82d completed March 14, 2026, 5:14 p.m.
Created at: March 9, 2026, 3:22 p.m.