Triple
T11589873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piper Cherokee Arrow |
E274851
|
entity |
| Predicate | hasFlaps |
P100461
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Piper Cherokee Arrow, hasFlaps, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlaps Context triple: [Piper Cherokee Arrow, hasFlaps, true]
-
A.
hasWingConfiguration
Indicates how an entity’s wings are arranged, structured, or configured relative to its body or to each other.
-
B.
wingConfiguration
Indicates how the wings of an aircraft or creature are arranged or structured relative to its body and to each other.
-
C.
hasRetractablePitch
Indicates that an entity (typically a stadium or venue) possesses a playing surface or pitch that can be mechanically extended or withdrawn as needed.
-
D.
hasWingOf
Indicates that one entity possesses or is associated with the wing that belongs to another entity.
-
E.
hasWingMountedDiveBrakes
Indicates that an entity is equipped with dive brakes that are mounted on its wings.
- F. None of above. chosen
Provenance (4 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d894643ae48190837502b713f5b9c6 |
completed | April 10, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dcbacd0819094d4a1237055affa |
completed | April 10, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69d87f2e67108190ac36bf47aac12fa8 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:38 p.m.