Triple

T21257834
Position Surface form Disambiguated ID Type / Status
Subject Den Dolder E523914 entity
Predicate roadAccess P385 FINISHED
Object N238
N238 is a regional road in the Netherlands that provides a key connection to and from the village of Den Dolder.
E1474598 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: N238 | Statement: [Den Dolder, roadAccess, N238]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N238
Context triple: [Den Dolder, roadAccess, N238]
  • A. N232
    N232 is a regional road in the Netherlands that serves as an important connector route near Amsterdam and Schiphol Airport.
  • B. N228
    N228 is a regional road in the Netherlands that provides access to and from the village of Benschop.
  • C. N208
    N208 is a regional road in the Netherlands that provides important local connectivity, including access to the village of Driehuis.
  • D. N278
    N278 is a regional road in the Netherlands that connects several towns and provides access to the village of Margraten in the province of Limburg.
  • E. N218
    N218 is a regional road in the Netherlands that connects the town of Zuidland with other nearby areas in the province of South Holland.
  • 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: N238
Triple: [Den Dolder, roadAccess, N238]
Generated description
N238 is a regional road in the Netherlands that provides a key connection to and from the village of Den Dolder.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: N238
Target entity description: N238 is a regional road in the Netherlands that provides a key connection to and from the village of Den Dolder.
  • A. N232
    N232 is a regional road in the Netherlands that serves as an important connector route near Amsterdam and Schiphol Airport.
  • B. N228
    N228 is a regional road in the Netherlands that provides access to and from the village of Benschop.
  • C. N208
    N208 is a regional road in the Netherlands that provides important local connectivity, including access to the village of Driehuis.
  • D. N278
    N278 is a regional road in the Netherlands that connects several towns and provides access to the village of Margraten in the province of Limburg.
  • E. N218
    N218 is a regional road in the Netherlands that connects the town of Zuidland with other nearby areas in the province of South Holland.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e2f1d48190b566ab4d736fdbc4 completed April 21, 2026, 8:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a098ffa8e88819083c42a6406a6b415 completed May 17, 2026, 9:52 a.m.
NEDg Description generation batch_6a099107de508190b4d3d864c33cf7d8 completed May 17, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_6a0991bc8370819087b205185299acce completed May 17, 2026, 10 a.m.
Created at: April 16, 2026, 3:58 p.m.