Triple
T27878571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaylord Entertainment Company |
E705019
|
entity |
| Predicate | hasHospitalityBrand |
P25109
|
FINISHED |
| Object | Gaylord Hotels |
—
|
NE NERFINISHED |
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: Gaylord Hotels | Statement: [Gaylord Entertainment Company, hasHospitalityBrand, Gaylord Hotels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHospitalityBrand Context triple: [Gaylord Entertainment Company, hasHospitalityBrand, Gaylord Hotels]
-
A.
hasHospitalityComponent
Indicates that something includes, involves, or is associated with a hospitality-related element, service, or function.
-
B.
hasResortBrand
Indicates that a resort is associated with, operated by, or marketed under a specific resort brand.
-
C.
hotelBrand
chosen
Indicates that a hotel is affiliated with, operated by, or marketed under a specific hotel brand.
-
D.
hasLoungeBrand
Indicates that an entity is associated with, or operates under, a particular lounge brand.
-
E.
hasPartnerHotel
Indicates that one hotel has an established partnership or affiliation relationship with another hotel.
- 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_69ef84111bb4819084298f994b31c62f |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 27, 2026, 6:28 p.m.