Triple
T12125197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Venetian Macao |
E288792
|
entity |
| Predicate | numberOfHotelSuites |
P2402
|
FINISHED |
| Object | about 3000 |
—
|
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: about 3000 | Statement: [The Venetian Macao, numberOfHotelSuites, about 3000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfHotelSuites Context triple: [The Venetian Macao, numberOfHotelSuites, about 3000]
-
A.
numberOfLuxurySuites
Indicates the total count of luxury suites associated with a given entity.
-
B.
numberOfHotelRooms
chosen
Indicates the total count of rooms that a given hotel has.
-
C.
hasLuxurySuites
Indicates that an entity provides or contains high-end, premium-quality suites as part of its accommodations or offerings.
-
D.
numberOfHalls
Indicates the quantity of halls associated with a given entity or location.
-
E.
numberOfGuestRoomWings
Indicates the count of distinct guest room wings associated with a given property or facility.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.