Triple

T8733293
Position Surface form Disambiguated ID Type / Status
Subject Leda E207309 entity
Predicate hasTributary P415 FINISHED
Object Soeste
Soeste is a river in Lower Saxony, Germany, known as a tributary of the Leda.
 E753147 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: Soeste | Statement: [Leda, hasTributary, Soeste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Soeste
Context triple: [Leda, hasTributary, Soeste]
  • A. Sosva
    Sosva is a rural locality in Sverdlovsk Oblast, Russia, historically known as the site of a Soviet-era labor camp where Finnish communist leader Kullervo Manner died.
  • B. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • C. Cosia
    Cosia is a small river in northern Italy that flows through the city of Como before emptying into Lake Como.
  • D. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • E. Zau
    Zau is an ancient city, historically known as Sais, that served as an important religious and political center in Egypt’s Nile Delta.
  • 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: Soeste
Triple: [Leda, hasTributary, Soeste]
Generated description
Soeste is a river in Lower Saxony, Germany, known as a tributary of the Leda.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Soeste
Target entity description: Soeste is a river in Lower Saxony, Germany, known as a tributary of the Leda.
  • A. Sosva
    Sosva is a rural locality in Sverdlovsk Oblast, Russia, historically known as the site of a Soviet-era labor camp where Finnish communist leader Kullervo Manner died.
  • B. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • C. Cosia
    Cosia is a small river in northern Italy that flows through the city of Como before emptying into Lake Como.
  • D. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • E. Zau
    Zau is an ancient city, historically known as Sais, that served as an important religious and political center in Egypt’s Nile Delta.
  • 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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d2a26988190acfda17f232e610a completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf292d71ec819082095cb7b8b2d39c completed April 3, 2026, 2:42 a.m.
NEDg Description generation batch_69cf2bd4f50c8190bad328e82d299ae0 completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2cbf60808190a006ee4fb26cde41 completed April 3, 2026, 2:58 a.m.
Created at: March 30, 2026, 6:37 p.m.