Triple
T36794872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aires Flight 8250 |
E909155
|
entity |
| Predicate | occupantCount |
P182070
|
FINISHED |
| Object | 127 |
—
|
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: 127 | Statement: [Aires Flight 8250, occupantCount, 127]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupantCount Context triple: [Aires Flight 8250, occupantCount, 127]
-
A.
occupants
Indicates that certain entities are currently inhabiting, residing in, or using a particular place, space, or object.
-
B.
hasOccupancy
chosen
Indicates that an entity is currently filled, used, or inhabited to a certain extent or by a certain number of occupants.
-
C.
hostOccupation
Indicates that one entity serves as the primary job, profession, or role held by another entity.
-
D.
guestCountApproximate
Indicates that the number of guests involved is represented as an estimated or approximate count rather than an exact figure.
-
E.
bedCount
Indicates the number of beds associated with an entity, such as a room, facility, or accommodation.
- 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_69f76e7b98888190899b6478a82ad6ae |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:12 p.m.