Triple
T11448035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hughes H-1 Racer |
E271313
|
entity |
| Predicate | wingSpanVariant |
P99340
|
FINISHED |
| Object | short-span racing wing |
—
|
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: short-span racing wing | Statement: [Hughes H-1 Racer, wingSpanVariant, short-span racing wing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wingSpanVariant Context triple: [Hughes H-1 Racer, wingSpanVariant, short-span racing wing]
-
A.
wingspan
Indicates the distance from the tip of one wing to the tip of the other wing when fully extended.
-
B.
wingArea
Indicates the total surface area covered by an entity’s wing or wings.
-
C.
wingConfiguration
Indicates how the wings of an aircraft or creature are arranged or structured relative to its body and to each other.
-
D.
wingOf
Indicates that something is a wing that forms a physical or functional part of another entity.
-
E.
fuselageVariant
Indicates that one fuselage is a specific version or variant derived from another fuselage design.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c6d4890819082fb4a670feb2629 |
completed | April 9, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69d7e7162b288190a0bfb89f7eb747c7 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d800115af08190bba53dd3ff561ca1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:35 p.m.