Triple
T280848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Class (Delta Air Lines) |
E5349
|
entity |
| Predicate | cabinEnvironment |
P2900
|
FINISHED |
| Object | quieter than Main Cabin |
—
|
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: quieter than Main Cabin | Statement: [First Class (Delta Air Lines), cabinEnvironment, quieter than Main Cabin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cabinEnvironment Context triple: [First Class (Delta Air Lines), cabinEnvironment, quieter than Main Cabin]
-
A.
environmentType
Indicates the kind or category of environment associated with an entity or situation.
-
B.
environmentalCondition
chosen
Indicates the state or characteristics of the surrounding physical environment that affect or describe a situation, process, or entity.
-
C.
chamberType
Indicates the specific kind or category of chamber associated with an entity (e.g., room, compartment, or enclosed space type).
-
D.
cabinet
Indicates that one entity serves as a cabinet (a storage or enclosure unit) for another entity.
-
E.
chamber1
Indicates that an entity is a chamber or room, typically serving as an enclosed space within a larger structure.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25e0868708190ad551ca06cc57f4a |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b765f488190b2cbe4b45cd42821 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.