Triple
T9468555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JetBlue TrueBlue |
E228333
|
entity |
| Predicate | hasTransferPartnerType |
P15570
|
FINISHED |
| Object | hotel loyalty programs (promotional or limited) |
—
|
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: hotel loyalty programs (promotional or limited) | Statement: [JetBlue TrueBlue, hasTransferPartnerType, hotel loyalty programs (promotional or limited)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransferPartnerType Context triple: [JetBlue TrueBlue, hasTransferPartnerType, hotel loyalty programs (promotional or limited)]
-
A.
hasPartnershipType
chosen
Indicates the specific kind or category of partnership relationship that exists between entities.
-
B.
hasPartner
Indicates that one entity is in a partner relationship (such as romantic, life, or business partnership) with another entity.
-
C.
hasExternalPartner
Indicates that an entity is engaged in a relationship, collaboration, or interaction with a partner organization or individual outside its own structure or system.
-
D.
hasPartnerOrganization
Indicates that an entity is formally associated or collaborates with another entity as a partner organization.
-
E.
hasTransfer
Indicates a relationship where something is moved or conveyed from one entity or location to another.
- 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_69ca846fee388190a6ec273fd644b88b |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fdf604481909bf7d7d477230ca3 |
completed | April 1, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69cca55f01b081908dc0f12eaa45f832 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:53 p.m.