Triple

T14658775
Position Surface form Disambiguated ID Type / Status
Subject Kiko E344179 entity
Predicate hasPart P35 FINISHED
Object That Train Don’t Stop Here
"That Train Don’t Stop Here" is a song by American singer-songwriter Kiko.
 E1112255 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: That Train Don’t Stop Here | Statement: [Kiko, hasPart, That Train Don’t Stop Here]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: That Train Don’t Stop Here
Context triple: [Kiko, hasPart, That Train Don’t Stop Here]
  • A. Stop This Train
    "Stop This Train" is a reflective folk-pop song by John Mayer that explores themes of aging, change, and the passage of time.
  • B. Stop That Train
    "Stop That Train" is a reggae song popularized by Bob Marley and the Wailers, known for its laid-back groove and themes of departure and escape.
  • C. Stop the Train
    "Stop the Train" is a song by American singer-songwriter Henry Wolfe, known for its mellow indie-pop style and introspective lyrics.
  • D. Just Like This Train
    "Just Like This Train" is a reflective folk-jazz song by Joni Mitchell from her acclaimed 1974 album "Court and Spark."
  • E. Last Train
    "Last Train" is a British television drama series, also known as "Cruel Earth," about a group of train passengers who awaken from suspended animation to find a post-apocalyptic future.
  • 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: That Train Don’t Stop Here
Triple: [Kiko, hasPart, That Train Don’t Stop Here]
Generated description
"That Train Don’t Stop Here" is a song by American singer-songwriter Kiko.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: That Train Don’t Stop Here
Target entity description: "That Train Don’t Stop Here" is a song by American singer-songwriter Kiko.
  • A. Stop This Train
    "Stop This Train" is a reflective folk-pop song by John Mayer that explores themes of aging, change, and the passage of time.
  • B. Stop That Train
    "Stop That Train" is a reggae song popularized by Bob Marley and the Wailers, known for its laid-back groove and themes of departure and escape.
  • C. Stop the Train
    "Stop the Train" is a song by American singer-songwriter Henry Wolfe, known for its mellow indie-pop style and introspective lyrics.
  • D. Just Like This Train
    "Just Like This Train" is a reflective folk-jazz song by Joni Mitchell from her acclaimed 1974 album "Court and Spark."
  • E. Last Train
    "Last Train" is a British television drama series, also known as "Cruel Earth," about a group of train passengers who awaken from suspended animation to find a post-apocalyptic future.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51b6a248190a44050c0e0ec2d16 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e01cd081909c71fdcf67c3b1f5 completed May 8, 2026, 12:24 p.m.
NEDg Description generation batch_69fdd65a6c24819088fb18ffcdfe6404 completed May 8, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_69fdd6f172288190ba7097518b1a971e completed May 8, 2026, 12:28 p.m.
Created at: April 10, 2026, 1:27 a.m.