Triple
T13987222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electrical Water Pageant (viewing area) |
E336470
|
entity |
| Predicate | entertainmentCategory |
P30079
|
FINISHED |
| Object | water parade viewing |
—
|
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: water parade viewing | Statement: [Electrical Water Pageant (viewing area), entertainmentCategory, water parade viewing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entertainmentCategory Context triple: [Electrical Water Pageant (viewing area), entertainmentCategory, water parade viewing]
-
A.
entertainmentType
chosen
Indicates the kind or category of entertainment associated with an entity or event.
-
B.
shows
Indicates that one entity presents, displays, or makes another entity visible or known to an audience or observer.
-
C.
inPopularCulture
Indicates that an entity is referenced, depicted, or otherwise present within works or discussions of popular culture.
-
D.
theater
Indicates that an entity is a theater or is functioning in the role of a theater (a venue where performances or films are shown).
-
E.
bestMotionPictureMusicalOrComedy
Indicates that the subject is recognized as the best motion picture in the musical or comedy category, typically as an award or ranking.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea537408190bb9d35963886803f |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.