Triple
T21096135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Orleans Hotel and Casino |
E519771
|
entity |
| Predicate | hasBowlingAlley |
P104441
|
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 Orleans Hotel and Casino, hasBowlingAlley, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBowlingAlley Context triple: [The Orleans Hotel and Casino, hasBowlingAlley, yes]
-
A.
hasBowlingBrand
Indicates that one entity is associated with or uses a particular bowling-related brand.
-
B.
hasBallcourt
Indicates that a place, structure, or site includes or is equipped with a ballcourt as one of its features.
-
C.
hasAlley
chosen
Indicates that one entity possesses, includes, or is connected to an alley as part of its structure, layout, or surroundings.
-
D.
hasBattingCages
Indicates that a place or facility includes or provides access to batting cages for practice or recreation.
-
E.
hasBallpark
Indicates that an entity possesses, is associated with, or includes a specific ballpark as part of its attributes or facilities.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b595cdc8190ba7a6f3f71d40c3f |
completed | April 21, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:52 p.m.