Triple
T26424932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SpongeBob SquarePants Rock Bottom Plunge |
E664342
|
entity |
| Predicate | indoorMall |
P44100
|
FINISHED |
| Object | Mall of America indoor amusement park |
—
|
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: Mall of America indoor amusement park | Statement: [SpongeBob SquarePants Rock Bottom Plunge, indoorMall, Mall of America indoor amusement park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: indoorMall Context triple: [SpongeBob SquarePants Rock Bottom Plunge, indoorMall, Mall of America indoor amusement park]
-
A.
isOutdoorMall
Indicates that a shopping area is an open-air mall, where stores are arranged outdoors rather than within an enclosed building.
-
B.
shoppingCenterInstanceOf
chosen
Indicates that a specific shopping center is an instance of a particular type or class of shopping centers.
-
C.
hasShoppingMall
Indicates that one entity possesses, contains, or includes a shopping mall within its area or domain.
-
D.
mallType
Indicates the specific category or classification of a mall based on its characteristics or intended function.
-
E.
hasShoppingMallName
Indicates that an entity (such as a shopping mall) is associated with or identified by a specific name.
- 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_69ee883ad6a4819088f918e76122d690 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f612607c388190ab61d1ac7d18e08d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
Created at: April 26, 2026, 11:45 p.m.