Triple

T2938242
Position Surface form Disambiguated ID Type / Status
Subject Oker E79320 entity
Predicate hasTributary P415 FINISHED
Object Abzucht
Abzucht is a small river in Lower Saxony, Germany, that flows through the Harz region and joins the Oker.
 E312132 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: Abzucht | Statement: [Oker, hasTributary, Abzucht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abzucht
Context triple: [Oker, hasTributary, Abzucht]
  • A. Atripé
    Atripé was an ancient Egyptian town in Upper Egypt notable as the home of the influential Coptic monastic leader Shenoute.
  • B. Ambrosia
    Ambrosia is a figure from Greek mythology, known as a daughter of the Titan Atlas.
  • C. Agrotera
    Agrotera is an epithet of the Greek goddess Artemis that emphasizes her role as a huntress and protector of wild animals.
  • D. Torrent de Bionnassay
    Torrent de Bionnassay is a glacial meltwater stream in the Mont Blanc massif of the French Alps, originating from the Bionnassay Glacier.
  • E. Harvest
    Harvest is a 1972 folk-rock album by Neil Young, widely regarded as one of his signature works and a classic of the singer-songwriter era.
  • 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: Abzucht
Triple: [Oker, hasTributary, Abzucht]
Generated description
Abzucht is a small river in Lower Saxony, Germany, that flows through the Harz region and joins the Oker.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abzucht
Target entity description: Abzucht is a small river in Lower Saxony, Germany, that flows through the Harz region and joins the Oker.
  • A. Atripé
    Atripé was an ancient Egyptian town in Upper Egypt notable as the home of the influential Coptic monastic leader Shenoute.
  • B. Ambrosia
    Ambrosia is a figure from Greek mythology, known as a daughter of the Titan Atlas.
  • C. Agrotera
    Agrotera is an epithet of the Greek goddess Artemis that emphasizes her role as a huntress and protector of wild animals.
  • D. Torrent de Bionnassay
    Torrent de Bionnassay is a glacial meltwater stream in the Mont Blanc massif of the French Alps, originating from the Bionnassay Glacier.
  • E. Harvest
    Harvest is a 1972 folk-rock album by Neil Young, widely regarded as one of his signature works and a classic of the singer-songwriter era.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad986c1c0c8190a6a9f17082438cfd completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b086837ddc8190af27c7facd629691 completed March 10, 2026, 9 p.m.
NEDg Description generation batch_69b0d15ec81c81909c22e265dd0263df completed March 11, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69b0d524994c8190b8b6ff05eee8696a completed March 11, 2026, 2:36 a.m.
Created at: March 8, 2026, 2:56 p.m.