Triple

T9450328
Position Surface form Disambiguated ID Type / Status
Subject Honselersdijk E227870 entity
Predicate roadAccessVia P9041 FINISHED
Object N213
N213 is a regional road in the Netherlands that provides key access to the Westland area, including the town of Honselersdijk.
E800704 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: N213 | Statement: [Honselersdijk, roadAccessVia, N213]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N213
Context triple: [Honselersdijk, roadAccessVia, N213]
  • A. N211
    N211 is a regional road in the Netherlands that connects several towns and provides important access routes in the South Holland province.
  • B. N215
    N215 is a regional road in the Netherlands that provides access to and connects the village of Nieuwe-Tonge with other parts of the surrounding area.
  • C. 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.
  • D. N222
    N222 is a regional road in the Netherlands that connects the town of Wateringen with surrounding areas in the Westland region.
  • E. N271
    N271 is a regional road in the Netherlands that runs through the province of Limburg, connecting several towns and villages along the Maas river.
  • 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: N213
Triple: [Honselersdijk, roadAccessVia, N213]
Generated description
N213 is a regional road in the Netherlands that provides key access to the Westland area, including the town of Honselersdijk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: N213
Target entity description: N213 is a regional road in the Netherlands that provides key access to the Westland area, including the town of Honselersdijk.
  • A. N211
    N211 is a regional road in the Netherlands that connects several towns and provides important access routes in the South Holland province.
  • B. N215
    N215 is a regional road in the Netherlands that provides access to and connects the village of Nieuwe-Tonge with other parts of the surrounding area.
  • C. 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.
  • D. N222
    N222 is a regional road in the Netherlands that connects the town of Wateringen with surrounding areas in the Westland region.
  • E. N271
    N271 is a regional road in the Netherlands that runs through the province of Limburg, connecting several towns and villages along the Maas river.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f6649a48190b6844daa6202efe5 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12268429c8190bf2fd0f3ea4dac4a completed April 4, 2026, 2:38 p.m.
NEDg Description generation batch_69d1235eccb88190943355bdc4e3a873 completed April 4, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_69d123e548e88190a85c8b3822879b72 completed April 4, 2026, 2:44 p.m.
Created at: March 30, 2026, 7:51 p.m.