Triple

T7496485
Position Surface form Disambiguated ID Type / Status
Subject Bremerhaven E177141 entity
Predicate hasRiver P165 FINISHED
Object Geeste
Geeste is a river in northwestern Germany that flows through Lower Saxony and Bremen before reaching the North Sea near Bremerhaven.
 E668577 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: Geeste | Statement: [Bremerhaven, hasRiver, Geeste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Geeste
Context triple: [Bremerhaven, hasRiver, Geeste]
  • A. Gestel
    Gestel is a district in the Dutch city of Eindhoven, located in the province of North Brabant.
  • B. Gasselte
    Gasselte is a village in the Dutch province of Drenthe, known for its surrounding forests, heathlands, and recreational lakes.
  • C. Grimmen
    Grimmen is a small town in northeastern Germany’s Mecklenburg-Vorpommern state, known for its historic center and location near the Baltic Sea coast.
  • D. Schierke
    Schierke is a small village in the Harz Mountains of Germany, known as a gateway to the Brocken peak and for its historic narrow-gauge railway connections and winter sports tourism.
  • E. Gälpu
    Gälpu is an Australian Aboriginal language spoken by the Gälpu people of northeast Arnhem Land in the Northern Territory.
  • 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: Geeste
Triple: [Bremerhaven, hasRiver, Geeste]
Generated description
Geeste is a river in northwestern Germany that flows through Lower Saxony and Bremen before reaching the North Sea near Bremerhaven.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Geeste
Target entity description: Geeste is a river in northwestern Germany that flows through Lower Saxony and Bremen before reaching the North Sea near Bremerhaven.
  • A. Gestel
    Gestel is a district in the Dutch city of Eindhoven, located in the province of North Brabant.
  • B. Gasselte
    Gasselte is a village in the Dutch province of Drenthe, known for its surrounding forests, heathlands, and recreational lakes.
  • C. Grimmen
    Grimmen is a small town in northeastern Germany’s Mecklenburg-Vorpommern state, known for its historic center and location near the Baltic Sea coast.
  • D. Schierke
    Schierke is a small village in the Harz Mountains of Germany, known as a gateway to the Brocken peak and for its historic narrow-gauge railway connections and winter sports tourism.
  • E. Gälpu
    Gälpu is an Australian Aboriginal language spoken by the Gälpu people of northeast Arnhem Land in the Northern Territory.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f57c86948190aa8ee765bd497850 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c8686cc8190bb1f7b09cdbebcf7 completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83e31d54c8190aed9279181f1db2b completed March 28, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69c83ef9ce408190907a62c9d0a6dc16 completed March 28, 2026, 8:50 p.m.
Created at: March 27, 2026, 3:43 p.m.