Triple
T9038697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Working on the Highway |
E216564
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | Downbound Train |
E216565
|
NE FINISHED |
How this triple was built (2 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: Downbound Train | Statement: [Working on the Highway, precededBy, Downbound Train]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Downbound Train Context triple: [Working on the Highway, precededBy, Downbound Train]
-
A.
Downbound Train
chosen
"Downbound Train" is a somber, narrative-driven rock song by Bruce Springsteen that appears on his 1984 album *Born in the U.S.A.*
-
B.
This Train
"This Train" is a song by reggae artist International Herb, likely reflecting his roots-influenced style and themes.
-
C.
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.
-
D.
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.
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6ac35db081908222e233933060b0 |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffdb085c88190b3cf1bec5b1a7143 |
completed | April 3, 2026, 5:49 p.m. |
Created at: March 30, 2026, 7:09 p.m.