Triple

T6857366
Position Surface form Disambiguated ID Type / Status
Subject Loanhead E158180 entity
Predicate roadAccess P385 FINISHED
Object A702
The A702 is a major road in Scotland that connects Edinburgh to the south, serving as a key route toward the English border and the M74.
E624250 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: A702 | Statement: [Loanhead, roadAccess, A702]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A702
Context triple: [Loanhead, roadAccess, A702]
  • A. A705
    A705 is a regional road in the United Kingdom that provides a transport link to the town of Howden.
  • B. A73
    A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
  • C. A7
    A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
  • D. A2100
    A2100 is a widely used modular satellite bus platform developed by Lockheed Martin for commercial and military communications satellites.
  • E. A127
    The A127 is a major road in Essex, England, linking London with Southend-on-Sea and serving towns such as Basildon along its route.
  • 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: A702
Triple: [Loanhead, roadAccess, A702]
Generated description
The A702 is a major road in Scotland that connects Edinburgh to the south, serving as a key route toward the English border and the M74.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A702
Target entity description: The A702 is a major road in Scotland that connects Edinburgh to the south, serving as a key route toward the English border and the M74.
  • A. A705
    A705 is a regional road in the United Kingdom that provides a transport link to the town of Howden.
  • B. A73
    A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
  • C. A7
    A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
  • D. A2100
    A2100 is a widely used modular satellite bus platform developed by Lockheed Martin for commercial and military communications satellites.
  • E. A127
    The A127 is a major road in Essex, England, linking London with Southend-on-Sea and serving towns such as Basildon along its route.
  • 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_69c68830cdbc8190a8301c7a9d9f651a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d870a8088190b42fde7626735cb1 completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fe28dc88190a9c7794b78374ecf completed March 28, 2026, 1:33 a.m.
NEDg Description generation batch_69c736684f848190a5fb1b82e152b8a5 completed March 28, 2026, 2:01 a.m.
NED2 Entity disambiguation (via description) batch_69c736d828f88190a388d559c673861a completed March 28, 2026, 2:03 a.m.
Created at: March 27, 2026, 2:21 p.m.