Triple
T28547362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hirundoidea |
E722479
|
entity |
| Predicate | typicalWingForm |
P183240
|
FINISHED |
| Object | long pointed wings |
—
|
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: long pointed wings | Statement: [Hirundoidea, typicalWingForm, long pointed wings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalWingForm Context triple: [Hirundoidea, typicalWingForm, long pointed wings]
-
A.
typeOfWing
Indicates the specific kind or category of wing that an entity possesses or is associated with.
-
B.
wingConfiguration
Indicates how the wings of an aircraft or creature are arranged or structured relative to its body and to each other.
-
C.
hasWingStructure
Indicates that one entity possesses or exhibits a particular type or configuration of wing structure.
-
D.
hasWingPlanform
chosen
Indicates the specific geometric shape or layout of an entity’s wing when viewed from above or below.
-
E.
architectOfWing
Indicates that one entity served as the architect responsible for designing a particular wing of a building or 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_69f01a5e42348190b1ffbca26e739c84 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_6a00b7fb90f881908f73edf2be8cc3a5 |
completed | May 10, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_6a00b75593d08190b3e76191cd79cdec |
completed | May 10, 2026, 4:50 p.m. |
Created at: April 28, 2026, 3:40 a.m.