Triple

T21299408
Position Surface form Disambiguated ID Type / Status
Subject Hoogeveen E525014 entity
Predicate crossedByMotorway P33132 FINISHED
Object A37
A37 is a Dutch motorway in the northeastern Netherlands that connects Hoogeveen to the German border, serving as an important east–west transport route.
 E1475889 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: A37 | Statement: [Hoogeveen, crossedByMotorway, A37]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A37
Context triple: [Hoogeveen, crossedByMotorway, A37]
  • A. A307
    A307 is a designated A-class road number in the United Kingdom’s road network.
  • B. A377
    A377 is a primary road in Devon, England, linking the town of Barnstaple with Exeter and serving as an important regional route.
  • C. A34
    A34 is a major trunk road in England that runs from Winchester in Hampshire to Salford near Manchester, serving as an important north–south transport route.
  • D. A73
    A73 is a major Dutch motorway in the southeastern Netherlands that connects key cities and facilitates regional and cross-border traffic.
  • E. A73
    A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
  • 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: A37
Triple: [Hoogeveen, crossedByMotorway, A37]
Generated description
A37 is a Dutch motorway in the northeastern Netherlands that connects Hoogeveen to the German border, serving as an important east–west transport route.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A37
Target entity description: A37 is a Dutch motorway in the northeastern Netherlands that connects Hoogeveen to the German border, serving as an important east–west transport route.
  • A. A307
    A307 is a designated A-class road number in the United Kingdom’s road network.
  • B. A377
    A377 is a primary road in Devon, England, linking the town of Barnstaple with Exeter and serving as an important regional route.
  • C. A34
    A34 is a major trunk road in England that runs from Winchester in Hampshire to Salford near Manchester, serving as an important north–south transport route.
  • D. A73
    A73 is a primary road in Scotland that connects several towns and serves as a key regional transport route.
  • E. A73
    A73 is a major Dutch motorway in the southeastern Netherlands that connects key cities and facilitates regional and cross-border traffic.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385b1c548190b940ded0163ee3ca completed April 21, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099814529c8190a94cfd3355862d0f completed May 17, 2026, 10:27 a.m.
NEDg Description generation batch_6a0998b0c09081909f99cdd4064f55cc completed May 17, 2026, 10:30 a.m.
NED2 Entity disambiguation (via description) batch_6a09993444c88190a5f594315b81c34a completed May 17, 2026, 10:32 a.m.
Created at: April 16, 2026, 4:05 p.m.