Triple
T16007329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Austen |
E388251
|
entity |
| Predicate | airplaneSeatNumber |
P31977
|
FINISHED |
| Object | 15C |
—
|
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: 15C | Statement: [Kate Austen, airplaneSeatNumber, 15C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airplaneSeatNumber Context triple: [Kate Austen, airplaneSeatNumber, 15C]
-
A.
seatNumber
chosen
Indicates the specific numbered position assigned to a seat within a defined seating arrangement or venue.
-
B.
seatOn
Indicates that one entity is positioned or placed on a seat or seating surface associated with another entity.
-
C.
aircraftSeatingCategory
Indicates the classification of an aircraft’s seating arrangement or capacity type associated with an entity.
-
D.
seatIs
Indicates that one entity functions as the seat or seating position of another entity.
-
E.
seatClass
Indicates the travel or seating category assigned to a passenger or seat (e.g., economy, business, first class).
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142dc081c819082527e3fa8773460 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:55 a.m.