Triple
T18282507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seraphim |
E437896
|
entity |
| Predicate | wingUsage |
P77568
|
FINISHED |
| Object | two wings cover the face |
—
|
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: two wings cover the face | Statement: [Seraphim, wingUsage, two wings cover the face]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wingUsage Context triple: [Seraphim, wingUsage, two wings cover the face]
-
A.
aviationUsage
Indicates that something is used for, involved in, or associated with aviation-related activities or purposes.
-
B.
wingOf
Indicates that something is a wing that forms a physical or functional part of another entity.
-
C.
wingFunction
chosen
Indicates the functional role or purpose that a wing serves in enabling certain actions or capabilities.
-
D.
theaterOfUseOfAircraft
Indicates the geographic or operational area in which an aircraft is intended to be or is actually employed.
-
E.
usedByPilotsOf
Indicates that something is utilized or operated by pilots belonging to a particular aircraft, organization, or group.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50057c5c881909fcda72f4a98c8c3 |
completed | April 19, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69e44fd81c788190b08c6be3b07a08c5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:35 a.m.