Triple
T9745458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The American Adventure Pavilion |
E236293
|
entity |
| Predicate | showTheme |
P25955
|
FINISHED |
| Object | history of the United States |
—
|
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: history of the United States | Statement: [The American Adventure Pavilion, showTheme, history of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showTheme Context triple: [The American Adventure Pavilion, showTheme, history of the United States]
-
A.
showType
Indicates the category or format in which something is presented or displayed (e.g., type of show, presentation, or display mode).
-
B.
themeFor
chosen
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
C.
showsThat
Indicates that one entity demonstrates, proves, or provides evidence for the truth or validity of another.
-
D.
graphicsTheme
Indicates the visual style or design motif that characterizes how something is graphically presented or themed.
-
E.
themeExamples
Indicates that the related entity serves as an example or illustration of the theme expressed by the subject.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2f8e648190ad94c940f9dc1de0 |
completed | April 1, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69cd03cc128c81908b84ef224f858b4e |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:23 p.m.