Triple
T15416556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Rest in Cali |
E369253
|
entity |
| Predicate | hasLaidBackStyle |
P34397
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [We Rest in Cali, hasLaidBackStyle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLaidBackStyle Context triple: [We Rest in Cali, hasLaidBackStyle, true]
-
A.
hasLaidBackGroove
chosen
Indicates that something (typically music or a performance) features a relaxed, unhurried rhythmic feel or vibe.
-
B.
hasBackrest
Indicates that one entity (typically a seat or seating object) includes or is equipped with a supporting backrest.
-
C.
hasBackrestType
Indicates the specific kind or style of backrest that an object (typically a seat or chair) possesses.
-
D.
hasOffbeatStyle
Indicates that an entity exhibits an unconventional, quirky, or nontraditional style or manner.
-
E.
hasLayBody
Indicates that an entity possesses or is associated with a lay (non-clerical or non-professional) governing or decision-making body.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ea8a8a081909749db1b29d85fcc |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:20 a.m.