Triple

T5509505
Position Surface form Disambiguated ID Type / Status
Subject Tynaarlo E144527 entity
Predicate hasSettlement P1068 FINISHED
Object Vries
Vries is a historic village in the Dutch province of Drenthe, known for its traditional Saxon farmhouses and rural character.
E531523 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: Vries | Statement: [Tynaarlo, hasSettlement, Vries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vries
Context triple: [Tynaarlo, hasSettlement, Vries]
  • A. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • B. van Dam
    van Dam is a Dutch surname commonly associated with individuals of Dutch origin or ancestry.
  • C. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • D. Blaauw
    Blaauw is a Dutch surname most notably associated with Gerrit Blaauw, a pioneering computer architect involved in the design of early IBM systems.
  • E. van Slingelandt
    Van Slingelandt is a Dutch surname historically associated with a prominent political and administrative family in the Netherlands.
  • 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: Vries
Triple: [Tynaarlo, hasSettlement, Vries]
Generated description
Vries is a historic village in the Dutch province of Drenthe, known for its traditional Saxon farmhouses and rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vries
Target entity description: Vries is a historic village in the Dutch province of Drenthe, known for its traditional Saxon farmhouses and rural character.
  • A. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • B. van Dam
    van Dam is a Dutch surname commonly associated with individuals of Dutch origin or ancestry.
  • C. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • D. Blaauw
    Blaauw is a Dutch surname most notably associated with Gerrit Blaauw, a pioneering computer architect involved in the design of early IBM systems.
  • E. van Slingelandt
    Van Slingelandt is a Dutch surname historically associated with a prominent political and administrative family in the Netherlands.
  • 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_69c033db6ebc8190ab35c707b846426d completed March 22, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69c0345cd5b88190855efd8c1bb94693 completed March 22, 2026, 6:26 p.m.
Created at: March 22, 2026, 3:33 p.m.