Triple
T4411622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherry Blossom Festival (San Francisco) |
E94864
|
entity |
| Predicate | hasParadeFeature |
P56123
|
FINISHED |
| Object | floats |
—
|
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: floats | Statement: [Cherry Blossom Festival (San Francisco), hasParadeFeature, floats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParadeFeature Context triple: [Cherry Blossom Festival (San Francisco), hasParadeFeature, floats]
-
A.
hasParades
Indicates that an entity regularly holds or hosts parades as events or activities.
-
B.
hasParadeRoute
Indicates that an entity is associated with or follows a specific route used for a parade.
-
C.
hasParadeRing
Indicates that an entity includes or is associated with a designated area where participants or items are formally displayed or paraded.
-
D.
mainParade
Indicates the relationship where an event or entity serves as the primary or central parade associated with a given context or occasion.
-
E.
paradeCity
Indicates the city where a parade takes place or is held.
- F. None of above. chosen
Provenance (4 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e656dc819093ca8395d7334006 |
completed | March 13, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3509997208190933f167f7e20ccfa |
completed | March 12, 2026, 11:47 p.m. |
Created at: March 12, 2026, 11:29 p.m.