Triple
T21096154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Orleans Hotel and Casino |
E519771
|
entity |
| Predicate | hasPlayersClub |
P142833
|
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, hasPlayersClub, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlayersClub Context triple: [The Orleans Hotel and Casino, hasPlayersClub, yes]
-
A.
hasHomeClub
Indicates that an entity (typically a person, such as an athlete) is associated with a particular club as their primary or official home organization.
-
B.
hasClub
Indicates that an entity is associated with or belongs to a particular club.
-
C.
associatedClubState
Indicates that there is a relationship between an entity and the state-level club or organization with which it is formally connected or affiliated.
-
D.
hasPlayedWithClub
Indicates that an individual has been a member of and participated in activities or competitions for a particular club.
-
E.
hasPlayer
Indicates that an entity (such as a team, game, or roster) includes or is associated with a specific player.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:52 p.m.