Triple

T13684243
Position Surface form Disambiguated ID Type / Status
Subject Bunschoten E328079 entity
Predicate roadAccess P385 FINISHED
Object N199
N199 is a regional Dutch road that provides key access to and from the town of Bunschoten in the Netherlands.
 E1056275 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: N199 | Statement: [Bunschoten, roadAccess, N199]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: N199
Context triple: [Bunschoten, roadAccess, N199]
  • A. N9
    N9 is the abbreviated designation for N9 Warfare Systems, a defense-related organization focused on the development and integration of advanced warfare technologies and capabilities.
  • B. N9
    N9 is a national route in South Africa that connects several inland towns and links with major highways such as the N2.
  • C. N90
    N90 is a major French national road in the Alps that serves as a key access route to ski resorts and mountain towns in the Tarentaise Valley.
  • D. N90
    N90 is the Federal Aviation Administration’s New York Terminal Radar Approach Control facility responsible for managing approach and departure air traffic in the busy New York metropolitan airspace.
  • E. N-90
    N-90 is a national highway in Pakistan that serves as a key route connecting parts of the Khyber Pakhtunkhwa region to the broader national road network.
  • 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: N199
Triple: [Bunschoten, roadAccess, N199]
Generated description
N199 is a regional Dutch road that provides key access to and from the town of Bunschoten in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: N199
Target entity description: N199 is a regional Dutch road that provides key access to and from the town of Bunschoten in the Netherlands.
  • A. N9
    N9 is the abbreviated designation for N9 Warfare Systems, a defense-related organization focused on the development and integration of advanced warfare technologies and capabilities.
  • B. N9
    N9 is a national route in South Africa that connects several inland towns and links with major highways such as the N2.
  • C. N90
    N90 is a major French national road in the Alps that serves as a key access route to ski resorts and mountain towns in the Tarentaise Valley.
  • D. N90
    N90 is the Federal Aviation Administration’s New York Terminal Radar Approach Control facility responsible for managing approach and departure air traffic in the busy New York metropolitan airspace.
  • E. N-90
    N-90 is a national highway in Pakistan that serves as a key route connecting parts of the Khyber Pakhtunkhwa region to the broader national road network.
  • 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.