Triple
T21096149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Orleans Hotel and Casino |
E519771
|
entity |
| Predicate | hasRaceBook |
P16266
|
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, hasRaceBook, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRaceBook Context triple: [The Orleans Hotel and Casino, hasRaceBook, yes]
-
A.
hasRace
Indicates that an entity possesses or is characterized by a particular race or racial classification.
-
B.
hasBook
Indicates that an entity possesses, owns, or is associated with a particular book.
-
C.
hasRacecourse
chosen
Indicates that an entity possesses, contains, or is associated with a racecourse facility or track.
-
D.
hasRaceClass
Indicates that an entity participates in or is associated with a particular race classification or category.
-
E.
hasBookSetIn
Indicates that a book’s story takes place in, or is primarily set within, a particular location.
- 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.