Triple

T7770358
Position Surface form Disambiguated ID Type / Status
Subject Chapelhall E179052 entity
Predicate roadJunctionOf P6234 FINISHED
Object A73
A73 is a primary road in Scotland that connects several towns and serves as a key regional transport route.
 E686731 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: A73 | Statement: [Chapelhall, roadJunctionOf, A73]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A73
Context triple: [Chapelhall, roadJunctionOf, A73]
  • A. A73
    A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
  • B. A7
    A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
  • C. A705
    A705 is a regional road in the United Kingdom that provides a transport link to the town of Howden.
  • D. 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.
  • E. A3ST
    A3ST is the ICAO aircraft type designator for the Airbus Beluga, a highly modified A300-600 wide-body airliner used primarily for transporting oversized cargo such as aircraft components.
  • 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: A73
Triple: [Chapelhall, roadJunctionOf, A73]
Generated description
A73 is a primary road in Scotland that connects several towns and serves as a key regional transport route.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A73
Target entity description: A73 is a primary road in Scotland that connects several towns and serves as a key regional transport route.
  • A. A73
    A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
  • B. A7
    A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
  • C. A705
    A705 is a regional road in the United Kingdom that provides a transport link to the town of Howden.
  • D. 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.
  • E. A3ST
    A3ST is the ICAO aircraft type designator for the Airbus Beluga, a highly modified A300-600 wide-body airliner used primarily for transporting oversized cargo such as aircraft components.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c70438ca2481909114b0c434717109 completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7ead45c8190847365d8549eefab completed March 29, 2026, 6:34 a.m.
NEDg Description generation batch_69c8c83be35481908fe672c4ad6885a0 completed March 29, 2026, 6:35 a.m.
NED2 Entity disambiguation (via description) batch_69c8c8a317d08190a34be81f78237e46 completed March 29, 2026, 6:37 a.m.
Created at: March 27, 2026, 4:11 p.m.