Triple

T10835199
Position Surface form Disambiguated ID Type / Status
Subject River Pleiße E255735 entity
Predicate hasGermanName P1435 FINISHED
Object Pleiße
Pleiße is a river in eastern Germany that flows through the city of Leipzig and is a tributary of the White Elster.
 E889203 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: Pleiße | Statement: [River Pleiße, hasGermanName, Pleiße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pleiße
Context triple: [River Pleiße, hasGermanName, Pleiße]
  • A. Seebruck
    Seebruck is a Bavarian lakeside village and popular holiday resort on the northern shore of Lake Chiemsee in southern Germany.
  • B. Wielenbach
    Wielenbach is a small municipality in the Upper Bavarian region of Germany, situated within the district of Weilheim-Schongau.
  • C. Seebach
    Seebach is a quarter in the northern part of Zurich, Switzerland, known for its residential areas and proximity to major transport links.
  • D. Horgau
    Horgau is a small municipality in the Swabian region of Bavaria in southern Germany.
  • E. Vechigen
    Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
  • 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: Pleiße
Triple: [River Pleiße, hasGermanName, Pleiße]
Generated description
Pleiße is a river in eastern Germany that flows through the city of Leipzig and is a tributary of the White Elster.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pleiße
Target entity description: Pleiße is a river in eastern Germany that flows through the city of Leipzig and is a tributary of the White Elster.
  • A. Seebruck
    Seebruck is a Bavarian lakeside village and popular holiday resort on the northern shore of Lake Chiemsee in southern Germany.
  • B. Wielenbach
    Wielenbach is a small municipality in the Upper Bavarian region of Germany, situated within the district of Weilheim-Schongau.
  • C. Seebach
    Seebach is a quarter in the northern part of Zurich, Switzerland, known for its residential areas and proximity to major transport links.
  • D. Horgau
    Horgau is a small municipality in the Swabian region of Bavaria in southern Germany.
  • E. Vechigen
    Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d746fdefd4819099772efbd4f302cb completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb12aae648190aa7c93cee60ae3ea completed April 14, 2026, 9:27 p.m.
NEDg Description generation batch_69dec2534728819095b3693120772da9 completed April 14, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69dec79b1b548190a74312284f98551c completed April 14, 2026, 11:02 p.m.
Created at: April 8, 2026, 9:19 p.m.