Triple
T21922997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concierge (Aer Lingus AerClub tier) |
E541366
|
entity |
| Predicate | customerRelationshipRole |
P99211
|
FINISHED |
| Object | rewards loyal customers |
—
|
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: rewards loyal customers | Statement: [Concierge (Aer Lingus AerClub tier), customerRelationshipRole, rewards loyal customers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: customerRelationshipRole Context triple: [Concierge (Aer Lingus AerClub tier), customerRelationshipRole, rewards loyal customers]
-
A.
relationshipToCustomers
chosen
Indicates the type or nature of connection an entity has with its customers, such as role, status, or interaction pattern.
-
B.
ClientRole
Indicates that an entity participates in a relationship or interaction specifically in the capacity of a client.
-
C.
salesRole
Indicates that an entity holds a position or function related to selling products or services within a business context.
-
D.
customerType
Indicates the classification or category assigned to a customer based on their characteristics, status, or relationship with a business.
-
E.
customerValue
Indicates the degree of benefit, importance, or worth that a customer represents to a business or organization.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233d096c8190af0d7cd21879c91b |
completed | April 28, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:45 p.m.