Triple
T21612799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Dreams |
E533352
|
entity |
| Predicate | numberOfHotelRoomsAndSuites |
P2402
|
FINISHED |
| Object | over 1,400 |
—
|
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: over 1,400 | Statement: [City of Dreams, numberOfHotelRoomsAndSuites, over 1,400]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfHotelRoomsAndSuites Context triple: [City of Dreams, numberOfHotelRoomsAndSuites, over 1,400]
-
A.
numberOfHotelRooms
chosen
Indicates the total count of rooms that a given hotel has.
-
B.
numberOfLuxurySuites
Indicates the total count of luxury suites associated with a given entity.
-
C.
numberOfGuestRoomWings
Indicates the count of distinct guest room wings associated with a given property or facility.
-
D.
numberOfBedrooms
Indicates the quantity of bedrooms associated with a given property or dwelling.
-
E.
hasNumberOfMainRooms
Indicates the relationship that specifies how many main rooms are present in a given entity, such as a building or dwelling.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3ba8d7cc8190a59706896a4c073a |
completed | April 27, 2026, 10:34 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:33 p.m.