Triple

T624293
Position Surface form Disambiguated ID Type / Status
Subject Harz E14581 entity
Predicate hasRiverSource P947 FINISHED
Object Oker
The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
 E79320 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: Oker | Statement: [Harz, hasRiverSource, Oker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oker
Context triple: [Harz, hasRiverSource, Oker]
  • A. Sauer
    Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
  • B. Klecko
    Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
  • C. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • D. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • E. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • 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: Oker
Triple: [Harz, hasRiverSource, Oker]
Generated description
The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oker
Target entity description: The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
  • A. Sauer
    Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
  • B. Klecko
    Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
  • C. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • D. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • E. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a514b514819088e7b6b7e4675905 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56c4b64088190a033462dd923f5b2 completed March 2, 2026, 10:54 a.m.
NEDg Description generation batch_69a56d4af33081908c3c5649003e86e4 completed March 2, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_69a56dd4bb808190a5562a5f8bcf2910 completed March 2, 2026, 11 a.m.
Created at: March 1, 2026, 7:35 p.m.