Triple
T5420955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cats, Hats & Things |
E121246
|
entity |
| Predicate | themeParkAreaType |
P42576
|
FINISHED |
| Object | children’s area shop |
—
|
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: children’s area shop | Statement: [Cats, Hats & Things, themeParkAreaType, children’s area shop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeParkAreaType Context triple: [Cats, Hats & Things, themeParkAreaType, children’s area shop]
-
A.
partOfAttractionType
Indicates that one attraction type is a component or subset of a broader, more general attraction type.
-
B.
themeParkComplex
Indicates a relationship where one entity is a theme park complex that encompasses or is composed of the other entity or entities.
-
C.
themeParkConnection
Indicates a relationship where two or more entities are connected through a theme park, such as by location, operation, partnership, or shared attractions.
-
D.
themeParkAttractionLocation
chosen
Indicates the specific place or area within a theme park where a particular attraction is situated.
-
E.
previousThemeParkArea
Indicates that one theme park area directly preceded another in time or sequence within the park’s development or layout.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87eac41481908a4982db5d119edd |
completed | March 20, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69bd8469f5e48190bbe5c8bdfe8925ea |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:06 p.m.