Triple
T5318936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Thousand Miles from Nowhere |
E121622
|
entity |
| Predicate | chartPosition_US_Hot_Country_Songs |
P19927
|
FINISHED |
| Object | 2 |
—
|
LITERAL 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: 2 | Statement: [A Thousand Miles from Nowhere, chartPosition_US_Hot_Country_Songs, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPosition_US_Hot_Country_Songs Context triple: [A Thousand Miles from Nowhere, chartPosition_US_Hot_Country_Songs, 2]
-
A.
chartPositionUSBillboardHotCountrySingles
chosen
Indicates the position a song or record achieved on the US Billboard Hot Country Singles chart.
-
B.
chartPositionUSHotRapSongs
Indicates the position an item achieved on the U.S. Billboard Hot Rap Songs chart.
-
C.
chartPositionUSHotR&BHipHopSongs
Indicates the position an item holds on the U.S. Billboard Hot R&B/Hip-Hop Songs chart.
-
D.
chartPosition_US_Billboard_Hot_100
Indicates the position an item achieved on the US Billboard Hot 100 music chart.
-
E.
chartPositionUSAlternativeSongs
Indicates the position an item reached on the US Alternative Songs music chart.
- F. None of above.
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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84561c7081909e5937c7816e492c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 1:59 p.m.