Triple

T17174305
Position Surface form Disambiguated ID Type / Status
Subject Renswoude E416817 entity
Predicate roadAccessVia P9041 FINISHED
Object N224
N224 is a regional road in the Netherlands that connects several towns and provides important access to and from Renswoude.
E1254511 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: N224 | Statement: [Renswoude, roadAccessVia, N224]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N224
Context triple: [Renswoude, roadAccessVia, N224]
  • A. N222
    N222 is a regional road in the Netherlands that connects the town of Wateringen with surrounding areas in the Westland region.
  • B. N213
    N213 is a regional road in the Netherlands that provides key access to the Westland area, including the town of Honselersdijk.
  • C. N225
    N225 is a regional road in the Netherlands that connects several towns and cities in the province of Utrecht.
  • D. 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.
  • E. N211
    N211 is a regional road in the Netherlands that connects several towns and provides important access routes in the South Holland province.
  • 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: N224
Triple: [Renswoude, roadAccessVia, N224]
Generated description
N224 is a regional road in the Netherlands that connects several towns and provides important access to and from Renswoude.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: N224
Target entity description: N224 is a regional road in the Netherlands that connects several towns and provides important access to and from Renswoude.
  • A. N222
    N222 is a regional road in the Netherlands that connects the town of Wateringen with surrounding areas in the Westland region.
  • B. N213
    N213 is a regional road in the Netherlands that provides key access to the Westland area, including the town of Honselersdijk.
  • C. N225
    N225 is a regional road in the Netherlands that connects several towns and cities in the province of Utrecht.
  • D. 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.
  • E. N211
    N211 is a regional road in the Netherlands that connects several towns and provides important access routes in the South Holland province.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0c329081909f118bd4b7be8653 completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148435f6081909bfc6cc1ef59d971 completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a014a4fdcf081908be68b1eda2066df completed May 11, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_6a014adf25808190ad712fbd7560e91d completed May 11, 2026, 3:19 a.m.
Created at: April 10, 2026, 5:37 a.m.