Triple

T10596053
Position Surface form Disambiguated ID Type / Status
Subject WAT E250114 entity
Predicate servesLine P839 FINISHED
Object Reading Line
Reading Line is a British railway line associated with services operated by the train company WAT.
 E874406 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: Reading Line | Statement: [WAT, servesLine, Reading Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Reading Line
Context triple: [WAT, servesLine, Reading Line]
  • A. Loop Line
    Loop Line is a circular rapid transit route within the Chongqing Metro system that connects multiple key districts in Chongqing, China.
  • B. A Line
    A Line is a commuter rail service in the Denver metropolitan area that connects downtown Denver with Denver International Airport.
  • C. A Line
    The A Line is a light rail service in the Los Angeles Metro Rail system that runs between Azusa and Long Beach, serving key destinations across Los Angeles County.
  • D. Line L
    Line L is a cable car line of the Medellín Metro system that serves hillside neighborhoods by connecting them to the main urban transit network.
  • E. 1 Line
    The 1 Line is a light rail route in the Seattle metropolitan area that forms the core north–south spine of Sound Transit's Link light rail system.
  • 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: Reading Line
Triple: [WAT, servesLine, Reading Line]
Generated description
Reading Line is a British railway line associated with services operated by the train company WAT.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Reading Line
Target entity description: Reading Line is a British railway line associated with services operated by the train company WAT.
  • A. Loop Line
    Loop Line is a circular rapid transit route within the Chongqing Metro system that connects multiple key districts in Chongqing, China.
  • B. A Line
    A Line is a commuter rail service in the Denver metropolitan area that connects downtown Denver with Denver International Airport.
  • C. A Line
    The A Line is a light rail service in the Los Angeles Metro Rail system that runs between Azusa and Long Beach, serving key destinations across Los Angeles County.
  • D. Line L
    Line L is a cable car line of the Medellín Metro system that serves hillside neighborhoods by connecting them to the main urban transit network.
  • E. 1 Line
    The 1 Line is a light rail route in the Seattle metropolitan area that forms the core north–south spine of Sound Transit's Link light rail system.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5278dacc4819089b759744f100e5f completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e955d908190a5b26faf2558d78c completed April 10, 2026, 8:33 p.m.
NEDg Description generation batch_69d96145d1ec8190b3228733159e1364 completed April 10, 2026, 8:44 p.m.
NED2 Entity disambiguation (via description) batch_69d9623cf54081908abcdc88e13d5176 completed April 10, 2026, 8:49 p.m.
Created at: April 6, 2026, 12:41 p.m.