Triple
T31650350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential Platinum |
E807711
|
entity |
| Predicate | statusProgramType |
P196792
|
FINISHED |
| Object | airline frequent-flyer program |
—
|
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: airline frequent-flyer program | Statement: [Presidential Platinum, statusProgramType, airline frequent-flyer program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusProgramType Context triple: [Presidential Platinum, statusProgramType, airline frequent-flyer program]
-
A.
programStatus
Indicates the current state or condition of a program within its lifecycle (e.g., planned, active, paused, completed, or terminated).
-
B.
typeOfStatus
Indicates the specific status category or condition that an entity is classified as having.
-
C.
statusLevelWithinProgram
Indicates the relative rank or standing an entity holds within a specific program.
-
D.
stateProgram
Indicates that a program is organized, funded, or administered by a governmental state authority.
-
E.
statusProgramRegion
Indicates the current state or condition of a program within a specific geographic or administrative region.
- 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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe68a4b67881909ca1d9f276f922e0 |
completed | May 8, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69fe680234c88190b01f953987b74972 |
completed | May 8, 2026, 10:47 p.m. |
| PDg | Predicate description generation | batch_69fe68a385f48190b942700e3eddc9b6 |
completed | May 8, 2026, 10:50 p.m. |
Created at: April 30, 2026, 10:53 p.m.