Triple

T22414166
Position Surface form Disambiguated ID Type / Status
Subject Macharen E554069 entity
Predicate roadAccessVia P9041 FINISHED
Object N329
N329 is a regional road in the Netherlands that provides important local and intercity connectivity in the province of North Brabant.
E1536183 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: N329 | Statement: [Macharen, roadAccessVia, N329]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N329
Context triple: [Macharen, roadAccessVia, N329]
  • A. N232
    N232 is a regional road in the Netherlands that serves as an important connector route near Amsterdam and Schiphol Airport.
  • B. N238
    N238 is a regional road in the Netherlands that provides a key connection to and from the village of Den Dolder.
  • C. N391
    N391 is a regional road in the Netherlands that serves as a key connection route to and from the village of Ter Apel.
  • D. N337
    N337 is a regional road in the Netherlands that connects the town of Wijhe with other nearby destinations.
  • E. N363
    N363 is a regional road in the Netherlands that connects the village of Usquert with other nearby towns in the province of Groningen.
  • 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: N329
Triple: [Macharen, roadAccessVia, N329]
Generated description
N329 is a regional road in the Netherlands that provides important local and intercity connectivity in the province of North Brabant.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: N329
Target entity description: N329 is a regional road in the Netherlands that provides important local and intercity connectivity in the province of North Brabant.
  • A. N232
    N232 is a regional road in the Netherlands that serves as an important connector route near Amsterdam and Schiphol Airport.
  • B. N238
    N238 is a regional road in the Netherlands that provides a key connection to and from the village of Den Dolder.
  • C. N391
    N391 is a regional road in the Netherlands that serves as a key connection route to and from the village of Ter Apel.
  • D. N337
    N337 is a regional road in the Netherlands that connects the town of Wijhe with other nearby destinations.
  • E. N363
    N363 is a regional road in the Netherlands that connects the village of Usquert with other nearby towns in the province of Groningen.
  • 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15945486081908eb3a7b0441c0ef1 completed April 29, 2026, 1:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0af0e99ca48190ad93201035c819d6 completed May 18, 2026, 10:58 a.m.
NEDg Description generation batch_6a0af2c6151881908f85a7c3c751cea9 completed May 18, 2026, 11:06 a.m.
NED2 Entity disambiguation (via description) batch_6a0b08e411048190a368214c57c35d5e completed May 18, 2026, 12:41 p.m.
Created at: April 16, 2026, 8:46 p.m.