Triple
T29526313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N744VG |
E749077
|
entity |
| Predicate | configurationChange |
P156088
|
FINISHED |
| Object | removal of most passenger interior |
—
|
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: removal of most passenger interior | Statement: [N744VG, configurationChange, removal of most passenger interior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: configurationChange Context triple: [N744VG, configurationChange, removal of most passenger interior]
-
A.
settingChange
chosen
Indicates a change made to a configuration, environment, or parameter value from one state to another.
-
B.
configuration
Indicates that one entity specifies or defines the arrangement, setup, or parameter settings under which another entity operates or is structured.
-
C.
featureChange
Indicates a modification in the properties, characteristics, or attributes of an entity between two states or points in time.
-
D.
configurationVia
Indicates that one entity is set up, customized, or controlled through another entity serving as its configuration mechanism or source.
-
E.
alignmentChange
Indicates a change in the moral, ethical, or factional stance of an entity relative to its previous alignment.
- 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 28, 2026, 4:46 p.m.