Triple
T10753013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SilverKris Lounge |
E253617
|
entity |
| Predicate | serviceClassSegmentation |
P94374
|
FINISHED |
| Object | First Class section (in selected lounges) |
—
|
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: First Class section (in selected lounges) | Statement: [SilverKris Lounge, serviceClassSegmentation, First Class section (in selected lounges)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceClassSegmentation Context triple: [SilverKris Lounge, serviceClassSegmentation, First Class section (in selected lounges)]
-
A.
serviceClass
Indicates the classification or category of service associated with or provided by an entity in the relationship.
-
B.
serviceNumberOrClass
Indicates that one entity specifies the service identifier or class designation associated with another entity.
-
C.
serviceClassAccess
chosen
Indicates that one entity is permitted to use or interact with a particular class or category of service provided by another entity.
-
D.
brandSegment
Indicates the specific market segment or customer group that a brand is targeted toward or associated with.
-
E.
classificationBySP
Indicates a relationship where an entity is categorized or classified according to a specific standard, scheme, or specification (SP).
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc184d0819085f8bc4edb034377 |
completed | April 9, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69d6f30df9948190ab3cdc33977fac14 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:15 p.m.