Triple
T27000243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney Wonder |
E680082
|
entity |
| Predicate | numberOfStaterooms |
P196976
|
FINISHED |
| Object | approximately 875 staterooms |
—
|
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: approximately 875 staterooms | Statement: [Disney Wonder, numberOfStaterooms, approximately 875 staterooms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStaterooms Context triple: [Disney Wonder, numberOfStaterooms, approximately 875 staterooms]
-
A.
capacityPerCabin
Indicates the number of occupants or units that each individual cabin is designed or allowed to hold.
-
B.
numberOfHotelRooms
Indicates the total count of rooms that a given hotel has.
-
C.
numberOfBedrooms
Indicates the quantity of bedrooms associated with a given property or dwelling.
-
D.
sleepingCapacity
Indicates the maximum number of people or occupants that can sleep in or be accommodated for sleeping by something.
-
E.
roomNumberOfBedIn
Indicates the room number in which a given bed is located.
- 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_69eeeb52908c8190bd246244686aa455 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
| PDg | Predicate description generation | batch_69fe72db8810819089e397961b8ead7a |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 27, 2026, 6:57 a.m.