Triple
T10876735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARIA Resort & Casino |
E256817
|
entity |
| Predicate | hasConventionSpaceArea |
P58710
|
FINISHED |
| Object | 300000 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: 300000 square feet | Statement: [ARIA Resort & Casino, hasConventionSpaceArea, 300000 square feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConventionSpaceArea Context triple: [ARIA Resort & Casino, hasConventionSpaceArea, 300000 square feet]
-
A.
hasAreaType
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
-
B.
standardArea
Indicates that an entity has a designated or officially defined area or size that serves as a standard reference.
-
C.
concessionArea
Indicates that one entity is a designated concession area associated with or located within another entity (such as a venue, facility, or site).
-
D.
hasAreaTotal
chosen
Indicates the total surface area associated with an entity, typically measured over its entire extent.
-
E.
hasAreaRange
Indicates that something’s area falls within a specified minimum-to-maximum range.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751ac901881909938cabe4d21bdbf |
completed | April 9, 2026, 7:13 a.m. |
| PD | Predicate disambiguation | batch_69d70d360c388190a3d829fe8862434f |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.