Triple
T14190998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horse & Carriage |
E351711
|
entity |
| Predicate | chartPositionHotR&BHipHopSongsPeak |
P13746
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Horse & Carriage, chartPositionHotR&BHipHopSongsPeak, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionHotR&BHipHopSongsPeak Context triple: [Horse & Carriage, chartPositionHotR&BHipHopSongsPeak, 9]
-
A.
chartPositionUSHotR&BHipHopSongs
chosen
Indicates the position an item holds on the U.S. Billboard Hot R&B/Hip-Hop Songs chart.
-
B.
chartPositionTopR&B/Hip-HopAlbumsPeak
Indicates the highest chart position an album reached on the Top R&B/Hip-Hop Albums chart.
-
C.
chartPositionUSHotRapSongs
Indicates the position an item achieved on the U.S. Billboard Hot Rap Songs chart.
-
D.
chartPositionUSHotCountrySongs
Indicates the position an item reached on the US Billboard Hot Country Songs music chart.
-
E.
chartPeakYear_US_Hot_R&B/Hip-Hop_Songs
Indicates the year in which something reached its highest chart position on the US Hot R&B/Hip-Hop Songs 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61df628c8190ba3f557e2128dce5 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:04 a.m.