Triple
T23889937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tropicana Entertainment |
E600735
|
entity |
| Predicate | operatedTypeOfProperty |
P149833
|
FINISHED |
| Object | casino resort |
—
|
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: casino resort | Statement: [Tropicana Entertainment, operatedTypeOfProperty, casino resort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedTypeOfProperty Context triple: [Tropicana Entertainment, operatedTypeOfProperty, casino resort]
-
A.
operatedAsset
Indicates that one entity is responsible for operating, managing, or running a particular asset.
-
B.
propertyType_id
chosen
Indicates a relationship that specifies the type or category of a property associated with an entity.
-
C.
operatesUnitType
Indicates that an entity runs, manages, or controls a unit of a specified type.
-
D.
propertyTypeOwned
Indicates that one entity owns a specific type or category of property in relation to another entity.
-
E.
operatedPlantType
Indicates that an entity operates or manages a plant (facility) of a specified type.
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cd029be48190b9319e59bf5d3a4d |
completed | April 29, 2026, 9:18 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:25 p.m.