Triple

T2143890
Position Surface form Disambiguated ID Type / Status
Subject A36 motorway (France) E47019 entity
Predicate roadNumber P1864 FINISHED
Object A36
A36 is a French autoroute designation for a major motorway connecting the regions of eastern France and linking important cities and transport corridors.
 E236910 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: A36 | Statement: [A36 motorway (France), roadNumber, A36]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A36
Context triple: [A36 motorway (France), roadNumber, A36]
  • A. A361
    The A361 is a major road in southwest England that links the town of Barnstaple with other key routes and destinations in the region.
  • B. A35
    A35 is a major French motorway in the Alsace region that runs north–south near the German border, connecting cities such as Strasbourg and Mulhouse.
  • 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. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • E. A3
    A3 is a major German autobahn that runs across several federal states, serving as an important east–west transport corridor.
  • 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: A36
Triple: [A36 motorway (France), roadNumber, A36]
Generated description
A36 is a French autoroute designation for a major motorway connecting the regions of eastern France and linking important cities and transport corridors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A36
Target entity description: A36 is a French autoroute designation for a major motorway connecting the regions of eastern France and linking important cities and transport corridors.
  • A. A361
    The A361 is a major road in southwest England that links the town of Barnstaple with other key routes and destinations in the region.
  • B. A35
    A35 is a major French motorway in the Alsace region that runs north–south near the German border, connecting cities such as Strasbourg and Mulhouse.
  • 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. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • E. A3
    A3 is a major German autobahn that runs across several federal states, serving as an important east–west transport corridor.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe223f848190a60bd0f15aed1021 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51b8152c81908c66d389bf14dc7e completed March 9, 2026, 4:51 a.m.
NEDg Description generation batch_69ae522f0394819087a7e7d9c6ca354c completed March 9, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_69ae5316acf881908dde9d83c36c8fd0 completed March 9, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:44 p.m.