Triple
T30661477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hot Pants Road |
E780540
|
entity |
| Predicate | primaryRhythmicFeel |
P203215
|
FINISHED |
| Object | syncopated 4/4 |
—
|
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: syncopated 4/4 | Statement: [Hot Pants Road, primaryRhythmicFeel, syncopated 4/4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRhythmicFeel Context triple: [Hot Pants Road, primaryRhythmicFeel, syncopated 4/4]
-
A.
primaryRhythmType
chosen
Indicates the main or dominant rhythmic pattern or category associated with an entity in contrast to any secondary or supporting rhythms.
-
B.
hasRhythmicOrigin
Indicates that something originates from, is derived from, or is fundamentally based on rhythm or rhythmic patterns.
-
C.
featuresRhythm
Indicates that something includes, exhibits, or is characterized by a particular rhythmic pattern or structure.
-
D.
rhythmicOrganization
Indicates how temporal patterns, accents, and durations are structured or arranged in relation to one another within a sequence or system.
-
E.
hasRhythmicStyle
Indicates that one entity exhibits or is characterized by a particular rhythmic pattern or style in its expression or behavior.
- 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_69f224a6d10481909290be1a00fc83b3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a031c6c728c81909c1d010048df71c3 |
completed | May 12, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_6a031bfc3b74819098c551096b1fcf00 |
completed | May 12, 2026, 12:24 p.m. |
Created at: April 29, 2026, 8:31 p.m.