Triple
T36604980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wonders of Life Pavilion |
E903021
|
entity |
| Predicate | featuredShowType |
P15144
|
FINISHED |
| Object | audio-animatronics show |
—
|
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: audio-animatronics show | Statement: [Wonders of Life Pavilion, featuredShowType, audio-animatronics show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredShowType Context triple: [Wonders of Life Pavilion, featuredShowType, audio-animatronics show]
-
A.
showType
chosen
Indicates the category or format in which something is presented or displayed (e.g., type of show, presentation, or display mode).
-
B.
featuredSetType
Indicates the specific category or type assigned to a featured set within a collection or system.
-
C.
associatedShowType
Indicates a relationship where one entity is linked to the type or category of show with which it is associated.
-
D.
mediaTypeOfShow
Indicates the relationship between a show and the type of media format in which it is presented (e.g., TV, radio, streaming).
-
E.
featuredContentType
Indicates the specific type or category of content that is highlighted or promoted as featured.
- 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.