Triple

T9765378
Position Surface form Disambiguated ID Type / Status
Subject Semmerzake E236974 entity
Predicate roadAccessVia P9041 FINISHED
Object N60
N60 is a major regional road in Belgium that connects several towns and provides important access to the national road network.
 E819266 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: N60 | Statement: [Semmerzake, roadAccessVia, N60]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: N60
Context triple: [Semmerzake, roadAccessVia, N60]
  • A. N62
    N62 is a major Dutch roadway in the province of Zeeland that connects key transport routes and includes the Westerscheldetunnel under the Western Scheldt.
  • B. N90
    N90 is a major French national road in the Alps that serves as a key access route to ski resorts and mountain towns in the Tarentaise Valley.
  • C. N618
    N618 is a regional road in the Netherlands that connects the town of Boxtel with nearby localities in the North Brabant province.
  • D. N366
    N366 is a regional road in the Netherlands that serves as a key connection route for traffic to and from the municipality of Pekela in the province of Groningen.
  • E. N9
    N9 is the abbreviated designation for N9 Warfare Systems, a defense-related organization focused on the development and integration of advanced warfare technologies and capabilities.
  • 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: N60
Triple: [Semmerzake, roadAccessVia, N60]
Generated description
N60 is a major regional road in Belgium that connects several towns and provides important access to the national road network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: N60
Target entity description: N60 is a major regional road in Belgium that connects several towns and provides important access to the national road network.
  • A. N62
    N62 is a major Dutch roadway in the province of Zeeland that connects key transport routes and includes the Westerscheldetunnel under the Western Scheldt.
  • B. N90
    N90 is a major French national road in the Alps that serves as a key access route to ski resorts and mountain towns in the Tarentaise Valley.
  • C. N618
    N618 is a regional road in the Netherlands that connects the town of Boxtel with nearby localities in the North Brabant province.
  • D. N366
    N366 is a regional road in the Netherlands that serves as a key connection route for traffic to and from the municipality of Pekela in the province of Groningen.
  • E. N9
    N9 is the abbreviated designation for N9 Warfare Systems, a defense-related organization focused on the development and integration of advanced warfare technologies and capabilities.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0a040988190b1c940f9e5c42f9c completed April 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcf965e88190b505ce160f77e9b7 completed April 5, 2026, 1:38 a.m.
NEDg Description generation batch_69d1bd901e4881908a39be828eb7f21b completed April 5, 2026, 1:40 a.m.
NED2 Entity disambiguation (via description) batch_69d1bdfe40f4819096b1d0442f4ee181 completed April 5, 2026, 1:42 a.m.
Created at: March 30, 2026, 8:25 p.m.