Triple

T2938213
Position Surface form Disambiguated ID Type / Status
Subject Brocken E79319 entity
Predicate nearbyTown P3883 FINISHED
Object 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.
 E312128 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: Schierke | Statement: [Brocken, nearbyTown, Schierke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Schierke
Context triple: [Brocken, nearbyTown, Schierke]
  • A. Mieresch
    Mieresch is the German name for the Mureș River, a major river flowing through Romania and Hungary.
  • B. Strelsau
    Strelsau is the fictional capital city of the kingdom of Ruritania in Anthony Hope’s adventure novel "The Prisoner of Zenda."
  • C. Legmeer
    Legmeer is a residential neighborhood within the Dutch municipality of Uithoorn in the province of North Holland.
  • D. Holthees
    Holthees is a small village in the Dutch province of North Brabant, known for its rural character and historic church.
  • E. Ruurlo
    Ruurlo is a village in the Dutch province of Gelderland, known for its historic estates and rural character.
  • 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: Schierke
Triple: [Brocken, nearbyTown, Schierke]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Schierke
Target entity description: 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.
  • A. Mieresch
    Mieresch is the German name for the Mureș River, a major river flowing through Romania and Hungary.
  • B. Strelsau
    Strelsau is the fictional capital city of the kingdom of Ruritania in Anthony Hope’s adventure novel "The Prisoner of Zenda."
  • C. Legmeer
    Legmeer is a residential neighborhood within the Dutch municipality of Uithoorn in the province of North Holland.
  • D. Holthees
    Holthees is a small village in the Dutch province of North Brabant, known for its rural character and historic church.
  • E. Ruurlo
    Ruurlo is a village in the Dutch province of Gelderland, known for its historic estates and rural character.
  • 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.