Triple

T5509569
Position Surface form Disambiguated ID Type / Status
Subject De Wolden E144528 entity
Predicate hasPart P35 FINISHED
Object Oosteinde
Oosteinde is a small village in the Dutch municipality of De Wolden in the province of Drenthe.
E528347 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: Oosteinde | Statement: [De Wolden, hasPart, Oosteinde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oosteinde
Context triple: [De Wolden, hasPart, Oosteinde]
  • A. 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.
  • B. Hollandia
    Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
  • C. Zuidland
    Zuidland is a village in the western Netherlands, located in the province of South Holland.
  • D. Noorden
    Noorden is a village in the Dutch province of South Holland, known for its rural character and surrounding lakes and peatland nature reserves.
  • E. Zoutelande
    Zoutelande is a coastal village and popular seaside resort in the Dutch province of Zeeland, known for its beaches and dunes along the North Sea.
  • 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: Oosteinde
Triple: [De Wolden, hasPart, Oosteinde]
Generated description
Oosteinde is a small village in the Dutch municipality of De Wolden in the province of Drenthe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oosteinde
Target entity description: Oosteinde is a small village in the Dutch municipality of De Wolden in the province of Drenthe.
  • A. 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.
  • B. Hollandia
    Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
  • C. Zuidland
    Zuidland is a village in the western Netherlands, located in the province of South Holland.
  • D. Noorden
    Noorden is a village in the Dutch province of South Holland, known for its rural character and surrounding lakes and peatland nature reserves.
  • E. Zoutelande
    Zoutelande is a coastal village and popular seaside resort in the Dutch province of Zeeland, known for its beaches and dunes along the North Sea.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f4ba90c8190ad22e5de84c545f9 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027c4b6c0819086c7c64911c7106e completed March 22, 2026, 5:32 p.m.
NEDg Description generation batch_69c033dc91e08190888fb6e94027fbdb completed March 22, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69c03460b21481908b78aa4bdc989d2c completed March 22, 2026, 6:26 p.m.
Created at: March 22, 2026, 3:33 p.m.