Triple
T32329116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paquita |
E825998
|
entity |
| Predicate | hasDivertissement |
P51190
|
FINISHED |
| Object | Grand Pas Classique |
—
|
NE NERFINISHED |
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: Grand Pas Classique | Statement: [Paquita, hasDivertissement, Grand Pas Classique]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDivertissement Context triple: [Paquita, hasDivertissement, Grand Pas Classique]
-
A.
entertainsDuring
Indicates that one entity provides entertainment or amusement to another entity specifically during a given time period or event.
-
B.
hasEntertainmentOptions
chosen
Indicates that an entity provides or includes one or more forms of entertainment or leisure activities as options.
-
C.
hasComedyElements
Indicates that something contains humorous or comedic aspects as part of its overall content or style.
-
D.
hasQueueEntertainment
Indicates that an entity provides or features entertainment specifically for people waiting in a queue.
-
E.
isEntertainmentDistrict
Indicates that a location functions primarily as an area dedicated to entertainment activities, venues, and nightlife.
- 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_69f34912d0c48190bba75770660320e9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe78e545888190a239af1a84280fa0 |
completed | May 8, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69fe7842742081908043eb950ed69f92 |
completed | May 8, 2026, 11:56 p.m. |
Created at: May 1, 2026, 12:47 a.m.