Triple
T1541743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MGM National Harbor |
E32882
|
entity |
| Predicate | hasGamingFloor |
P24207
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [MGM National Harbor, hasGamingFloor, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGamingFloor Context triple: [MGM National Harbor, hasGamingFloor, true]
-
A.
hasCasinoFloorArea
Indicates the total floor area occupied by a casino within a given property or facility.
-
B.
hasFloor
Indicates that one entity possesses, includes, or is associated with a particular floor or level within a structure.
-
C.
hasGlassFloor
Indicates that one entity possesses or features a floor made of glass.
-
D.
hasCasino
chosen
Indicates that an entity includes, contains, or is associated with a casino facility or gambling establishment.
-
E.
hasTradingFloor
Indicates that an entity operates or contains a physical or virtual trading floor where financial instruments are actively bought and sold.
- 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_69a885ed29088190a3c2d5a3d100c16e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa95c1a2948190a2b98469afec1a7d |
completed | March 6, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69a907b2453c8190a41f6b88c8217d1e |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.