Triple

T13684244
Position Surface form Disambiguated ID Type / Status
Subject Bunschoten E328079 entity
Predicate roadAccess P385 FINISHED
Object N806
N806 is a regional road in the Netherlands that provides access to and from the town of Bunschoten.
E1056276 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: N806 | Statement: [Bunschoten, roadAccess, N806]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N806
Context triple: [Bunschoten, roadAccess, N806]
  • A. N618
    N618 is a regional road in the Netherlands that connects the town of Boxtel with nearby localities in the North Brabant province.
  • B. N62
    N62 is a major Dutch roadway in the province of Zeeland that connects key transport routes and includes the Westerscheldetunnel under the Western Scheldt.
  • C. N8
    N8 is a designated national highway route, commonly used to identify a major intercity road in certain countries’ transportation networks.
  • D. N84
    N84 is a regional road that serves as a key junction route connecting to the town of Bastogne in Belgium.
  • E. N813
    N813 is a regional road in the Netherlands that connects to the town of Doetinchem in the province of Gelderland.
  • 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: N806
Triple: [Bunschoten, roadAccess, N806]
Generated description
N806 is a regional road in the Netherlands that provides access to and from the town of Bunschoten.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: N806
Target entity description: N806 is a regional road in the Netherlands that provides access to and from the town of Bunschoten.
  • A. N618
    N618 is a regional road in the Netherlands that connects the town of Boxtel with nearby localities in the North Brabant province.
  • B. N62
    N62 is a major Dutch roadway in the province of Zeeland that connects key transport routes and includes the Westerscheldetunnel under the Western Scheldt.
  • C. N8
    N8 is a designated national highway route, commonly used to identify a major intercity road in certain countries’ transportation networks.
  • D. N84
    N84 is a regional road that serves as a key junction route connecting to the town of Bastogne in Belgium.
  • E. N813
    N813 is a regional road in the Netherlands that connects to the town of Doetinchem in the province of Gelderland.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc66f8acc8190b2a82b722930b995 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944765488190a97d2bea8c29e698 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f7955fce288190a7e426f467517a91 completed May 3, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69f7996cddf08190973e493fb788ce7a completed May 3, 2026, 6:52 p.m.
Created at: April 9, 2026, 9:53 p.m.