Triple

T2982992
Position Surface form Disambiguated ID Type / Status
Subject Ruhr E80553 entity
Predicate hasTributary P415 FINISHED
Object Henne
The Henne is a river in western Germany that flows through North Rhine-Westphalia and joins the Ruhr.
 E317104 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: Henne | Statement: [Ruhr, hasTributary, Henne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Henne
Context triple: [Ruhr, hasTributary, Henne]
  • A. Rooster
    "Rooster" is a dark, grunge-era song by Alice in Chains that powerfully depicts the Vietnam War through the perspective of guitarist Jerry Cantrell’s father.
  • B. Lark
    Lark was a famous overnight passenger train that ran between San Francisco and Los Angeles, known for its streamlined design and sleeper service.
  • C. Murg
    The Murg is a river in Germany’s Black Forest region, known for its steep valleys, hydroelectric use, and scenic landscapes.
  • D. Byrde
    Byrde is an archaic or variant spelling of the word "bird," historically used in Middle and Early Modern English texts.
  • E. Nene
    Nene was the principal wife of Japanese warlord Toyotomi Hideyoshi and a politically influential noblewoman during the late Sengoku period.
  • 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: Henne
Triple: [Ruhr, hasTributary, Henne]
Generated description
The Henne is a river in western Germany that flows through North Rhine-Westphalia and joins the Ruhr.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Henne
Target entity description: The Henne is a river in western Germany that flows through North Rhine-Westphalia and joins the Ruhr.
  • A. Rooster
    "Rooster" is a dark, grunge-era song by Alice in Chains that powerfully depicts the Vietnam War through the perspective of guitarist Jerry Cantrell’s father.
  • B. Lark
    Lark was a famous overnight passenger train that ran between San Francisco and Los Angeles, known for its streamlined design and sleeper service.
  • C. Murg
    The Murg is a river in Germany’s Black Forest region, known for its steep valleys, hydroelectric use, and scenic landscapes.
  • D. Byrde
    Byrde is an archaic or variant spelling of the word "bird," historically used in Middle and Early Modern English texts.
  • E. Nene
    Nene was the principal wife of Japanese warlord Toyotomi Hideyoshi and a politically influential noblewoman during the late Sengoku period.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99a1ed44819085ae6d39943db1d9 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108f5e5c88190b9dd0a67cb159854 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b10b3967ac81908390d684f2fb23b2 completed March 11, 2026, 6:27 a.m.
NED2 Entity disambiguation (via description) batch_69b10f312ec88190b632639acbd024dc completed March 11, 2026, 6:44 a.m.
Created at: March 8, 2026, 2:58 p.m.