Triple
T31661288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orangetheory Fitness |
E808007
|
entity |
| Predicate | classFormat |
P130
|
FINISHED |
| Object | coach-led group classes |
—
|
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: coach-led group classes | Statement: [Orangetheory Fitness, classFormat, coach-led group classes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classFormat Context triple: [Orangetheory Fitness, classFormat, coach-led group classes]
-
A.
packageFormat
Indicates the format or type in which a package is structured, encoded, or delivered.
-
B.
format
chosen
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
C.
usedFormat
Indicates that one entity employs or applies a particular format or representation in relation to another entity.
-
D.
dateFormat
Indicates the specific pattern or structure used to represent a date as a formatted string.
-
E.
formatCategory
Indicates how an item is classified or grouped according to its format or presentation type.
- 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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b967d5308190bbb66d0a8dd52612 |
completed | May 3, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 30, 2026, 10:57 p.m.