Triple

T19995801
Position Surface form Disambiguated ID Type / Status
Subject Margraten E494188 entity
Predicate roadAccess P385 FINISHED
Object 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.
E1405499 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: N278 | Statement: [Margraten, roadAccess, N278]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N278
Context triple: [Margraten, roadAccess, N278]
  • A. N277
    N277 is a designated road or route that provides vehicular access to the Mill.
  • B. 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.
  • C. N272
    N272 is a regional road in the Netherlands that serves as a key connection route in the province of North Brabant, including access to the village of Sint Anthonis.
  • D. N228
    N228 is a regional road in the Netherlands that provides access to and from the village of Benschop.
  • E. N257
    N257 is a regional road in the Netherlands that connects to the Philipsdam and serves as part of the infrastructure linking the Zeeland and South Holland provinces.
  • 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: N278
Triple: [Margraten, roadAccess, N278]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: N278
Target entity description: 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.
  • A. N277
    N277 is a designated road or route that provides vehicular access to the Mill.
  • B. 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.
  • C. N272
    N272 is a regional road in the Netherlands that serves as a key connection route in the province of North Brabant, including access to the village of Sint Anthonis.
  • D. N228
    N228 is a regional road in the Netherlands that provides access to and from the village of Benschop.
  • E. N257
    N257 is a regional road in the Netherlands that connects to the Philipsdam and serves as part of the infrastructure linking the Zeeland and South Holland provinces.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe3fb288190a935c334e8a5d54e completed April 20, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08050803408190aee8393b999c2a16 completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a0805dc82648190ba319b623e167cfd completed May 16, 2026, 5:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0806badb3c8190b5f30d2532064720 completed May 16, 2026, 5:55 a.m.
Created at: April 11, 2026, 3:32 p.m.