Triple

T6787624
Position Surface form Disambiguated ID Type / Status
Subject Plauer See (Brandenburg) E155849 entity
Predicate locatedInRegion P40 FINISHED
Object Westhavelland
Westhavelland is a rural region in western Brandenburg, Germany, characterized by extensive wetlands, lakes, and protected natural landscapes.
E619375 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: Westhavelland | Statement: [Plauer See (Brandenburg), locatedInRegion, Westhavelland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westhavelland
Context triple: [Plauer See (Brandenburg), locatedInRegion, Westhavelland]
  • A. Noordereiland
    Noordereiland is a densely built river island and residential neighborhood in the Nieuwe Maas in Rotterdam, known for its historic character and strategic location between the city center and the southern bank.
  • B. Westeinde
    Westeinde is a small settlement in the municipality of Westerveld in the Dutch province of Drenthe.
  • C. Zuidland
    Zuidland is a village in the western Netherlands, located in the province of South Holland.
  • D. Hollandia
    Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
  • E. Hollandia
    Hollandia was a major World War II Allied military base and logistical hub in New Guinea, used as a key staging area for operations in the South West Pacific.
  • 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: Westhavelland
Triple: [Plauer See (Brandenburg), locatedInRegion, Westhavelland]
Generated description
Westhavelland is a rural region in western Brandenburg, Germany, characterized by extensive wetlands, lakes, and protected natural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Westhavelland
Target entity description: Westhavelland is a rural region in western Brandenburg, Germany, characterized by extensive wetlands, lakes, and protected natural landscapes.
  • A. Noordereiland
    Noordereiland is a densely built river island and residential neighborhood in the Nieuwe Maas in Rotterdam, known for its historic character and strategic location between the city center and the southern bank.
  • B. Westeinde
    Westeinde is a small settlement in the municipality of Westerveld in the Dutch province of Drenthe.
  • C. Zuidland
    Zuidland is a village in the western Netherlands, located in the province of South Holland.
  • D. Hollandia
    Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
  • E. Hollandia
    Hollandia was a major World War II Allied military base and logistical hub in New Guinea, used as a key staging area for operations in the South West Pacific.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2907d0081908291aad66048b8b1 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a871a84819098891f66c6e5b579 completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71b6b87d8819085e6ae122f042626 completed March 28, 2026, 12:06 a.m.
NED2 Entity disambiguation (via description) batch_69c71c00f86c819099ef6ae0766e9f3a completed March 28, 2026, 12:08 a.m.
Created at: March 27, 2026, 2:14 p.m.