Triple
T10272405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AAA Two Diamond Award |
E240869
|
entity |
| Predicate | describesServiceLevel |
P6199
|
FINISHED |
| Object | modest accommodations |
—
|
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: modest accommodations | Statement: [AAA Two Diamond Award, describesServiceLevel, modest accommodations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesServiceLevel Context triple: [AAA Two Diamond Award, describesServiceLevel, modest accommodations]
-
A.
serviceLevel
chosen
Indicates the degree or quality of service provided or received in the relationship between entities.
-
B.
publicSupportLevel
Indicates the degree or intensity of approval, endorsement, or backing that the general public gives to a particular entity, action, or proposal.
-
C.
typicalServiceRequirement
Indicates that a certain condition, resource, or specification is normally needed or expected for a service to be properly provided or operated.
-
D.
serviceCharacterization
Indicates how a service is defined, described, or classified in terms of its properties, behavior, or role.
-
E.
servesSkillLevel
Indicates that one entity provides or is appropriate for a particular level of skill in another entity.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2872830819080fdfa816167d04c |
completed | April 7, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ef6e6c81908a8ee52e4d28127b |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:36 a.m.