Triple
T27746658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AdventHealth Arena |
E702001
|
entity |
| Predicate | bubbleEnvironment |
P853
|
FINISHED |
| Object | NBA Bubble at Walt Disney World |
—
|
NE NERFINISHED |
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: NBA Bubble at Walt Disney World | Statement: [AdventHealth Arena, bubbleEnvironment, NBA Bubble at Walt Disney World]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bubbleEnvironment Context triple: [AdventHealth Arena, bubbleEnvironment, NBA Bubble at Walt Disney World]
-
A.
bubbleState
Indicates the current status or condition of a bubble within a process, system, or environment (e.g., whether it exists, is active, stable, or has changed).
-
B.
bubbleLocation
Indicates the spatial position or area where a bubble is situated or occurs.
-
C.
bubbleCity
Indicates a relationship where a city is characterized as being enclosed, isolated, or self-contained like a bubble, often separated or protected from its surrounding environment.
-
D.
environmentType
chosen
Indicates the kind or category of environment associated with an entity or situation.
-
E.
builtEnvironment
Indicates that something is part of, related to, or characteristic of human-made physical surroundings such as buildings, infrastructure, and other constructed spaces.
- 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6371a823c8190a75f3702c45bb41f |
completed | May 2, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 4:16 p.m.