Triple

T5832811
Position Surface form Disambiguated ID Type / Status
Subject Reuss River E129391 entity
Predicate hasTributary P415 FINISHED
Object Kleine Emme
Kleine Emme is a river in central Switzerland that flows through the canton of Lucerne before joining the Reuss River.
E551660 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: Kleine Emme | Statement: [Reuss River, hasTributary, Kleine Emme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kleine Emme
Context triple: [Reuss River, hasTributary, Kleine Emme]
  • A. Tebbe
    Tebbe is a German surname that serves as the etymological root for the name Tibbets.
  • B. Maamme
    Maamme is the national anthem of Finland, known for its patriotic lyrics and prominent role in Finnish national ceremonies and sporting events.
  • C. Lány
    Lány is a village and chateau area in the Czech Republic known as the site of the presidential summer residence and the place where the first Czechoslovak president Tomáš Garrigue Masaryk died.
  • D. Ännchen von Tharau
    Ännchen von Tharau is the heroine of a famous 17th-century German-language love song and folk ballad, celebrated in East Prussian and Baltic cultural tradition.
  • E. Klara
    Klara is the given first name of Hannelore Kohl, the late wife of former German Chancellor Helmut Kohl.
  • 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: Kleine Emme
Triple: [Reuss River, hasTributary, Kleine Emme]
Generated description
Kleine Emme is a river in central Switzerland that flows through the canton of Lucerne before joining the Reuss River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kleine Emme
Target entity description: Kleine Emme is a river in central Switzerland that flows through the canton of Lucerne before joining the Reuss River.
  • A. Tebbe
    Tebbe is a German surname that serves as the etymological root for the name Tibbets.
  • B. Maamme
    Maamme is the national anthem of Finland, known for its patriotic lyrics and prominent role in Finnish national ceremonies and sporting events.
  • C. Lány
    Lány is a village and chateau area in the Czech Republic known as the site of the presidential summer residence and the place where the first Czechoslovak president Tomáš Garrigue Masaryk died.
  • D. Ännchen von Tharau
    Ännchen von Tharau is the heroine of a famous 17th-century German-language love song and folk ballad, celebrated in East Prussian and Baltic cultural tradition.
  • E. Klara
    Klara is the given first name of Hannelore Kohl, the late wife of former German Chancellor Helmut Kohl.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0346c331c8190bac050d425961485 completed March 22, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a193ac408190a06159406a814adb completed March 23, 2026, 2:12 a.m.
NEDg Description generation batch_69c0a2c8dc6481909ecd4fe2acf3d973 completed March 23, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69c0a37ad8488190933bbdcb16567ebd completed March 23, 2026, 2:20 a.m.
Created at: March 22, 2026, 3:54 p.m.