Triple
T24311107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Six Flags Great Escape |
E612674
|
entity |
| Predicate | hasThemedAreas |
P13439
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Six Flags Great Escape, hasThemedAreas, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThemedAreas Context triple: [Six Flags Great Escape, hasThemedAreas, Yes]
-
A.
containsThemeArea
Indicates that one entity includes or encompasses a specific thematic area as part of its scope or content.
-
B.
hasThemedLand
chosen
Indicates that one entity (typically a larger venue or park) includes or is composed of a specific themed land or area as part of its layout or structure.
-
C.
numberOfThemedZones
Indicates the total count of distinct themed zones associated with or contained within an entity.
-
D.
hasAreaType
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
-
E.
hasCentralTheme
Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2922a6afc8190b02cc2d185d15a45 |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:37 a.m.