Triple
T21612985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vdara Hotel & Spa |
E533356
|
entity |
| Predicate | suiteCount |
P13078
|
FINISHED |
| Object | 1495 |
—
|
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: 1495 | Statement: [Vdara Hotel & Spa, suiteCount, 1495]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suiteCount Context triple: [Vdara Hotel & Spa, suiteCount, 1495]
-
A.
numberOfSuites
chosen
Indicates the total count of suites associated with or contained within a given entity.
-
B.
numberOfTests
Indicates the quantity of tests associated with or performed in a given context or entity.
-
C.
sampleSuite
Indicates that an entity is part of, associated with, or belongs to a particular sample suite (a grouped set of related samples or tests).
-
D.
testSuite
Indicates that one entity is a collection or grouping of tests designed to be executed together, typically to validate behavior or functionality.
-
E.
numberOfTestCaps
Indicates the number of times an individual has appeared in test matches (test caps) for a team or organization.
- 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.