Triple
T363677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PENN Entertainment |
E7911
|
entity |
| Predicate | hasAssetType |
P3586
|
FINISHED |
| Object | casinos |
—
|
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: casinos | Statement: [PENN Entertainment, hasAssetType, casinos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssetType Context triple: [PENN Entertainment, hasAssetType, casinos]
-
A.
hasAsset
Indicates that one entity possesses, owns, or controls another entity as an asset.
-
B.
hasPropertyType
chosen
Indicates that an entity possesses or is associated with a specific type or category of property.
-
C.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
D.
hasMemberType
Indicates that an entity includes or is associated with members belonging to a specified type or category.
-
E.
hasTypeOfResource
Indicates that an entity is associated with a specific category or kind of resource it represents or utilizes.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebd1016481909b8ba3b047a47145 |
completed | Feb. 28, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69a2e95c843c8190b2aba9af6e869ba1 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.