Triple
T1543407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanna Get Away |
E32921
|
entity |
| Predicate | boardingGroupEligibility |
P9729
|
FINISHED |
| Object | eligible for general boarding positions |
—
|
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: eligible for general boarding positions | Statement: [Wanna Get Away, boardingGroupEligibility, eligible for general boarding positions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boardingGroupEligibility Context triple: [Wanna Get Away, boardingGroupEligibility, eligible for general boarding positions]
-
A.
boardingGroups
Indicates that certain entities are assigned to or associated with specific boarding groups for an ordered boarding process.
-
B.
boarding
Indicates that one entity is getting onto or entering a vehicle, vessel, or similar conveyance associated with another entity.
-
C.
positionEligible
Indicates that an entity is qualified or permitted to hold or be assigned to a particular position or role.
-
D.
boardingProcess
Indicates the process or sequence of actions by which passengers move from a waiting area onto a vehicle (such as an airplane, train, or bus).
-
E.
eligibilityLevel
chosen
Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
- 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_69a885ed29088190a3c2d5a3d100c16e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa95c1a2948190a2b98469afec1a7d |
completed | March 6, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69a907b2453c8190a41f6b88c8217d1e |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.