Triple

T19109703
Position Surface form Disambiguated ID Type / Status
Subject X90 Oxford–London coaches E467753 entity
Predicate routeNumber P1864 FINISHED
Object X90
X90 is an express coach service that operated between Oxford and London, providing intercity bus transport for commuters and travelers.
 E1358844 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: X90 | Statement: [X90 Oxford–London coaches, routeNumber, X90]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: X90
Context triple: [X90 Oxford–London coaches, routeNumber, X90]
  • A. 9X
    9X is the IATA airline designator assigned to Southern Airways Express, a U.S.-based regional commuter airline.
  • B. N90
    N90 is a major French national road in the Alps that serves as a key access route to ski resorts and mountain towns in the Tarentaise Valley.
  • C. N90
    N90 is the Federal Aviation Administration’s New York Terminal Radar Approach Control facility responsible for managing approach and departure air traffic in the busy New York metropolitan airspace.
  • D. A90
    A90 is the orbital motorway encircling Rome, Italy, serving as a major ring road for traffic around the city.
  • E. A90
    The A90 is a major trunk road in eastern Scotland that connects Edinburgh to Perth and continues north toward Dundee and Aberdeen.
  • 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: X90
Triple: [X90 Oxford–London coaches, routeNumber, X90]
Generated description
X90 is an express coach service that operated between Oxford and London, providing intercity bus transport for commuters and travelers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: X90
Target entity description: X90 is an express coach service that operated between Oxford and London, providing intercity bus transport for commuters and travelers.
  • A. 9X
    9X is the IATA airline designator assigned to Southern Airways Express, a U.S.-based regional commuter airline.
  • B. N90
    N90 is a major French national road in the Alps that serves as a key access route to ski resorts and mountain towns in the Tarentaise Valley.
  • C. N90
    N90 is the Federal Aviation Administration’s New York Terminal Radar Approach Control facility responsible for managing approach and departure air traffic in the busy New York metropolitan airspace.
  • D. A90
    A90 is the orbital motorway encircling Rome, Italy, serving as a major ring road for traffic around the city.
  • E. A90
    The A90 is a major trunk road in eastern Scotland that connects Edinburgh to Perth and continues north toward Dundee and Aberdeen.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e392ef488190a230b1d2890b2a9d completed April 20, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05dda4d5c881909162a8c331bb3c95 completed May 14, 2026, 2:35 p.m.
NEDg Description generation batch_6a05dfd00d1081908086212708501c8f completed May 14, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_6a05e0f25e2481909ddd3f2181b784ea completed May 14, 2026, 2:49 p.m.
Created at: April 10, 2026, 12:04 p.m.