Triple
T261737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Easter Parade and Bonnet Festival |
E5554
|
entity |
| Predicate | takesPlaceOn |
P7406
|
FINISHED |
| Object | Fifth Avenue sidewalks |
—
|
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: Fifth Avenue sidewalks | Statement: [Easter Parade and Bonnet Festival, takesPlaceOn, Fifth Avenue sidewalks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: takesPlaceOn Context triple: [Easter Parade and Bonnet Festival, takesPlaceOn, Fifth Avenue sidewalks]
-
A.
celebratedDuring
Indicates that an event, tradition, or activity takes place or is observed within the time span of a specified celebration or festive period.
-
B.
commemoratesEventOn
Indicates that one entity marks, honors, or observes a specific event on a particular date or occasion.
-
C.
seCelebraEn
chosen
Indicates that an event or occasion takes place or is held at a specific location or venue.
-
D.
ceremonyHeldOn
Indicates that a specific ceremony took place on a particular date or day.
-
E.
annualEvent
Indicates that an event occurs once every year on a recurring basis.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25e2aba74819093eddd8d820260c0 |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b6c968c819094fc903a3a377e15 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.