Triple
T12236720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resorts World Las Vegas |
E291613
|
entity |
| Predicate | gamingFloorArea |
P22760
|
FINISHED |
| Object | 117000 square feet |
—
|
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: 117000 square feet | Statement: [Resorts World Las Vegas, gamingFloorArea, 117000 square feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gamingFloorArea Context triple: [Resorts World Las Vegas, gamingFloorArea, 117000 square feet]
-
A.
hasCasinoFloorArea
chosen
Indicates the total floor area occupied by a casino within a given property or facility.
-
B.
hasFloorArea
Indicates that an entity possesses a specified amount of floor space as a measurable area.
-
C.
gamingSpace
Indicates a relationship where a space, area, or environment is designated or used specifically for gaming activities.
-
D.
standardArea
Indicates that an entity has a designated or officially defined area or size that serves as a standard reference.
-
E.
roofArea
Indicates the total surface area covered by the roof of a structure.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d924a3973c8190a882046963b320fb |
completed | April 10, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69d91c41bcbc81909782f4e3c571b218 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.