Triple
T800980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney's Port Orleans Resort – Riverside |
E17125
|
entity |
| Predicate | hasCheckInCategory |
P18843
|
FINISHED |
| Object | on-site Walt Disney World hotel |
—
|
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: on-site Walt Disney World hotel | Statement: [Disney's Port Orleans Resort – Riverside, hasCheckInCategory, on-site Walt Disney World hotel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCheckInCategory Context triple: [Disney's Port Orleans Resort – Riverside, hasCheckInCategory, on-site Walt Disney World hotel]
-
A.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
B.
hasCategoryGroup
Indicates that something is associated with, or belongs to, a broader grouping of related categories.
-
C.
hasCheckOutTime
Indicates the specific time at which an entity is required or scheduled to check out or depart.
-
D.
hasPassengerUsageCategory
Indicates the classification of how a passenger-related resource or service is used (e.g., its usage type or category for passengers).
-
E.
hasRelatedCategory
Indicates that one category is associated with another category through a non-hierarchical, contextually relevant relationship.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7cc75e88190bd35aabe51051b51 |
completed | March 1, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69a4a5133bf88190a613e96d1f7cffa7 |
completed | March 1, 2026, 8:44 p.m. |
| PDg | Predicate description generation | batch_69a4a58c0a84819094f07658dc651b36 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:38 p.m.