Triple
T28376032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inside Out Emotional Whirlwind |
E718757
|
entity |
| Predicate | previousAttractionLocation |
P177019
|
FINISHED |
| Object | A Bug's Land |
—
|
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: A Bug's Land | Statement: [Inside Out Emotional Whirlwind, previousAttractionLocation, A Bug's Land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousAttractionLocation Context triple: [Inside Out Emotional Whirlwind, previousAttractionLocation, A Bug's Land]
-
A.
previousAttraction
Indicates that one entity was formerly an attraction or point of interest associated with another entity in the past.
-
B.
previousAttractionType
Indicates that an entity previously had a different attraction type or category before its current one.
-
C.
relatedAttraction
Indicates that one attraction is associated with or connected to another attraction in some relevant way.
-
D.
previousThemeParkArea
Indicates that one theme park area directly preceded another in time or sequence within the park’s development or layout.
-
E.
attractionLocatedIn
chosen
Indicates that an attraction (such as a landmark, site, or point of interest) is geographically situated within a specified location or area.
- 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_69eff6ee5afc8190bd7375a29f0cc6c6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: April 28, 2026, 1:03 a.m.