Triple
T8208270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Venetian |
E191744
|
entity |
| Predicate | hasCasinoFloor |
P24207
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Venetian, hasCasinoFloor, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCasinoFloor Context triple: [The Venetian, hasCasinoFloor, yes]
-
A.
hasCasinoFloorArea
Indicates the total floor area occupied by a casino within a given property or facility.
-
B.
hasCasino
chosen
Indicates that an entity includes, contains, or is associated with a casino facility or gambling establishment.
-
C.
hasDanceFloor
Indicates that a place or venue includes a designated area intended for dancing.
-
D.
hasFloor
Indicates that one entity possesses, includes, or is associated with a particular floor or level within a structure.
-
E.
hasNearbyCasino
Indicates that one entity is located close to, or in the immediate vicinity of, a casino.
- 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_69ca82c7f3e08190857bf1fc63b2a10c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb726d26ec8190957da68227f5ce61 |
completed | March 31, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:43 p.m.