Triple

T9495348
Position Surface form Disambiguated ID Type / Status
Subject Eider E228989 entity
Predicate hasTributary P415 FINISHED
Object Sorge
Sorge is a river in the German state of Schleswig-Holstein that serves as one of the tributaries feeding into the Eider River.
 E802835 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: Sorge | Statement: [Eider, hasTributary, Sorge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sorge
Context triple: [Eider, hasTributary, Sorge]
  • A. Sorge
    Sorge is a small village in the Harz region of Saxony-Anhalt, Germany, known historically as a former border settlement in the inner-German division.
  • B. Borgne
    Borgne is a coastal commune in northern Haiti known for its rural communities, fishing activities, and agricultural production.
  • C. Sivorg
    Sivorg was a clandestine Norwegian resistance organization during World War II that coordinated civilian opposition and underground activities against the German occupation.
  • D. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • E. Sorya
    Sorya is a regional dialect of the Kumaoni language spoken in parts of the Indian Himalayan region.
  • 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: Sorge
Triple: [Eider, hasTributary, Sorge]
Generated description
Sorge is a river in the German state of Schleswig-Holstein that serves as one of the tributaries feeding into the Eider River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sorge
Target entity description: Sorge is a river in the German state of Schleswig-Holstein that serves as one of the tributaries feeding into the Eider River.
  • A. Sorge
    Sorge is a small village in the Harz region of Saxony-Anhalt, Germany, known historically as a former border settlement in the inner-German division.
  • B. Borgne
    Borgne is a coastal commune in northern Haiti known for its rural communities, fishing activities, and agricultural production.
  • C. Sivorg
    Sivorg was a clandestine Norwegian resistance organization during World War II that coordinated civilian opposition and underground activities against the German occupation.
  • D. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • E. Sorya
    Sorya is a regional dialect of the Kumaoni language spoken in parts of the Indian Himalayan region.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95eb87b081908fc7255598cd9a24 completed April 1, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d34967881909980be6f1be80885 completed April 4, 2026, 3:24 p.m.
NEDg Description generation batch_69d13113474881909201282ce1385073 completed April 4, 2026, 3:41 p.m.
NED2 Entity disambiguation (via description) batch_69d131ade0588190bdf3cfdbbdd6df8e completed April 4, 2026, 3:43 p.m.
Created at: March 30, 2026, 7:56 p.m.