Triple

T12646141
Position Surface form Disambiguated ID Type / Status
Subject Washington, Tyne and Wear E302027 entity
Predicate roadServedBy P385 FINISHED
Object A1231
The A1231 is a primary road in Tyne and Wear, England, providing a key route through and around Washington and linking it to the wider regional road network.
 E994344 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: A1231 | Statement: [Washington, Tyne and Wear, roadServedBy, A1231]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A1231
Context triple: [Washington, Tyne and Wear, roadServedBy, A1231]
  • A. A1303
    The A1303 is a primary road in Cambridge, England, forming part of an important east–west route through the city and its surrounding area.
  • B. A12
    The A12 is a major road in England that connects London with East Anglia, serving key towns and cities including Ipswich and Colchester.
  • C. A12
    A12 is a major French motorway that forms part of the national autoroute network, connecting the outskirts of Paris with the western regions.
  • D. A12
    A12 is a major Swiss motorway that connects the regions of Bern and Fribourg, serving as an important north–south transit corridor.
  • E. A1200
    A1200 is the common short name for the Commodore Amiga 1200, a popular early-1990s home computer known for its advanced graphics and multimedia 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: A1231
Triple: [Washington, Tyne and Wear, roadServedBy, A1231]
Generated description
The A1231 is a primary road in Tyne and Wear, England, providing a key route through and around Washington and linking it to the wider regional road network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A1231
Target entity description: The A1231 is a primary road in Tyne and Wear, England, providing a key route through and around Washington and linking it to the wider regional road network.
  • A. A1303
    The A1303 is a primary road in Cambridge, England, forming part of an important east–west route through the city and its surrounding area.
  • B. A12
    The A12 is a major road in England that connects London with East Anglia, serving key towns and cities including Ipswich and Colchester.
  • C. A12
    A12 is a major French motorway that forms part of the national autoroute network, connecting the outskirts of Paris with the western regions.
  • D. A12
    A12 is a major Swiss motorway that connects the regions of Bern and Fribourg, serving as an important north–south transit corridor.
  • E. A1200
    A1200 is the common short name for the Commodore Amiga 1200, a popular early-1990s home computer known for its advanced graphics and multimedia 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614cefdc81908cfc4a4d04aa6eda completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6687961d88190a605f17425ad7547 completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f6695372688190b09a2bb2e58cb546 completed May 2, 2026, 9:14 p.m.
NED2 Entity disambiguation (via description) batch_69f669fe4bc48190adba50ad58b10c45 completed May 2, 2026, 9:17 p.m.
Created at: April 9, 2026, 5:17 p.m.