Triple
T17063337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pittsburgh Cycle |
E414017
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Two Trains Running |
E339473
|
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: Two Trains Running | Statement: [The Pittsburgh Cycle, hasPart, Two Trains Running]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Two Trains Running Context triple: [The Pittsburgh Cycle, hasPart, Two Trains Running]
-
A.
Two Trains Running
chosen
Two Trains Running is a play by August Wilson that explores the lives and struggles of African Americans in a 1960s Pittsburgh diner.
-
B.
Runaway Trains
Runaway Trains is a song by British rock band Tom Petty and the Heartbreakers, known for its reflective lyrics and melodic rock sound.
-
C.
This Train
"This Train" is a traditional American gospel song popularized by Sister Rosetta Tharpe, celebrated for its driving rhythm and moralistic lyrics about a righteous journey to salvation.
-
D.
This Train
"This Train" is a song by reggae artist International Herb, likely reflecting his roots-influenced style and themes.
-
E.
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.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7eb0808190ae1b0044e2b5cbd7 |
completed | April 18, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ed7f6fc81908d27a6581fcfa265 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:34 a.m.