Triple
T33796589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aloft Hotels |
E866089
|
entity |
| Predicate | brandProgram |
P180099
|
FINISHED |
| Object | W XYZ bar |
—
|
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: W XYZ bar | Statement: [Aloft Hotels, brandProgram, W XYZ bar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandProgram Context triple: [Aloft Hotels, brandProgram, W XYZ bar]
-
A.
agencyProgramName
Indicates the specific program or initiative name associated with or administered by an agency.
-
B.
currentProgramBrand
Indicates that an entity is associated with the brand of the program it is currently part of or participating in.
-
C.
agencyProgramme
Indicates that an agency is responsible for, manages, or is associated with a particular programme.
-
D.
companyProgram
Indicates that a program is organized, operated, or sponsored by a specific company.
-
E.
brand campaign
Indicates a coordinated set of marketing activities and messages designed to promote, position, or reinforce a brand in the minds of a target audience.
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
| PDg | Predicate description generation | batch_69f730890a008190a882f7828f1c9162 |
completed | May 3, 2026, 11:24 a.m. |
Created at: May 1, 2026, 1:46 a.m.