Triple
T1598674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Disney Resort |
E34340
|
entity |
| Predicate | hasChristmasEvent |
P3113
|
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: [Tokyo Disney Resort, hasChristmasEvent, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChristmasEvent Context triple: [Tokyo Disney Resort, hasChristmasEvent, yes]
-
A.
hasImportantHoliday
Indicates that an entity is associated with a holiday considered significant or special in some context.
-
B.
hasFestival
chosen
Indicates that a location, community, or entity hosts or holds a festival or celebratory event.
-
C.
hasRegionalHoliday
Indicates that a particular region observes or is associated with a specific holiday.
-
D.
hasCommonHoliday
Indicates that two entities share at least one holiday that is observed or celebrated in common.
-
E.
containsHolidayInUnitedStates
Indicates that the referenced time period or schedule includes at least one officially recognized holiday in the United States.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a916d413f08190a4e137e5ed262e25 |
completed | March 5, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69a907bfb39c8190a31e0be14d3d52e6 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.