Triple
T31446166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiana’s Foods co-op |
E802191
|
entity |
| Predicate | appearsInParkAttraction |
P80066
|
FINISHED |
| Object | Magic Kingdom – Tiana’s Bayou Adventure |
—
|
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: Magic Kingdom – Tiana’s Bayou Adventure | Statement: [Tiana’s Foods co-op, appearsInParkAttraction, Magic Kingdom – Tiana’s Bayou Adventure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInParkAttraction Context triple: [Tiana’s Foods co-op, appearsInParkAttraction, Magic Kingdom – Tiana’s Bayou Adventure]
-
A.
locatedInThemeParkType
Indicates that an entity is situated within or belongs to a specific type or category of theme park.
-
B.
themeParkAttraction
chosen
Indicates that something is an attraction or ride located within a theme park.
-
C.
themeParkPresence
Indicates that an entity is present at, located in, or associated with a theme park in the context of a given event or situation.
-
D.
themeParkAttractionLocation
Indicates the specific place or area within a theme park where a particular attraction is situated.
-
E.
themeParkAttractionAt
Indicates that a specific theme park attraction is located at or associated with a particular theme park or site.
- 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_69f348c5a6bc819092a557e95438976f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: April 30, 2026, 9:09 p.m.