Triple
T26752671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairy World Taxi Spin |
E674583
|
entity |
| Predicate | hasThemeParkAreaIP |
P165363
|
FINISHED |
| Object | Nickelodeon |
—
|
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: Nickelodeon | Statement: [Fairy World Taxi Spin, hasThemeParkAreaIP, Nickelodeon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThemeParkAreaIP Context triple: [Fairy World Taxi Spin, hasThemeParkAreaIP, Nickelodeon]
-
A.
hasThemePark
Indicates that one entity owns, contains, or is associated with a theme park as part of its properties or offerings.
-
B.
locatedInThemeParkType
Indicates that an entity is situated within or belongs to a specific type or category of 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.
previousThemeParkArea
Indicates that one theme park area directly preceded another in time or sequence within the park’s development or layout.
-
E.
themeParkAccess
Indicates that an entity has permission or eligibility to enter or use the facilities and attractions of a theme park.
- F. None of above. chosen
Provenance (4 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f658a91ba0819084fbe3dd8a09f7cd |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f657f2c8b08190bfeb3173ef78207d |
completed | May 2, 2026, 8 p.m. |
Created at: April 27, 2026, 3:54 a.m.