Triple

T14623127
Position Surface form Disambiguated ID Type / Status
Subject Seventeen Days E343273 entity
Predicate hasTrack P3284 FINISHED
Object Landing in London
"Landing in London" is a rock ballad by the American band 3 Doors Down, known for its melancholic lyrics about distance and longing.
E1110386 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: Landing in London | Statement: [Seventeen Days, hasTrack, Landing in London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landing in London
Context triple: [Seventeen Days, hasTrack, Landing in London]
  • A. London–Edinburgh
    London–Edinburgh is a major intercity rail corridor in the United Kingdom linking the capital of England with the capital of Scotland.
  • B. London–York
    London–York is a major intercity rail corridor in England linking the capital with the historic city of York.
  • C. Londiani
    Londiani is a town in Kenya’s Rift Valley region, known as a local commercial and transport hub within Kericho County.
  • D. The London
    "The London" is a 2019 hip-hop single by Young Thug featuring J. Cole and Travis Scott, known for its melodic trap production and high-profile collaboration.
  • E. Walking in London
    "Walking in London" is a 1992 alternative rock album by American band Concrete Blonde, known for its dark, atmospheric sound and introspective songwriting.
  • 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: Landing in London
Triple: [Seventeen Days, hasTrack, Landing in London]
Generated description
"Landing in London" is a rock ballad by the American band 3 Doors Down, known for its melancholic lyrics about distance and longing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Landing in London
Target entity description: "Landing in London" is a rock ballad by the American band 3 Doors Down, known for its melancholic lyrics about distance and longing.
  • A. London–Edinburgh
    London–Edinburgh is a major intercity rail corridor in the United Kingdom linking the capital of England with the capital of Scotland.
  • B. London–York
    London–York is a major intercity rail corridor in England linking the capital with the historic city of York.
  • C. Londiani
    Londiani is a town in Kenya’s Rift Valley region, known as a local commercial and transport hub within Kericho County.
  • D. The London
    "The London" is a 2019 hip-hop single by Young Thug featuring J. Cole and Travis Scott, known for its melodic trap production and high-profile collaboration.
  • E. Walking in London
    "Walking in London" is a 1992 alternative rock album by American band Concrete Blonde, known for its dark, atmospheric sound and introspective songwriting.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb468acc4819083b7e818d5cec809 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda9288e748190bf65a01803265a73 completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb27c8db481909330d299faded4f3 completed May 8, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_69fdb3b24320819098dd7fab0c3a0507 completed May 8, 2026, 9:58 a.m.
Created at: April 10, 2026, 1:26 a.m.