Triple
T22063517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mellisuga helenae |
E545208
|
entity |
| Predicate | wingbeatFrequency |
P66325
|
FINISHED |
| Object | up to about 80 beats per second in flight |
—
|
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: up to about 80 beats per second in flight | Statement: [Mellisuga helenae, wingbeatFrequency, up to about 80 beats per second in flight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wingbeatFrequency Context triple: [Mellisuga helenae, wingbeatFrequency, up to about 80 beats per second in flight]
-
A.
wingBeatFrequency
chosen
Indicates the rate at which an entity flaps its wings over a given period of time.
-
B.
wingCount
Indicates the number of wings an entity possesses.
-
C.
typeOfWing
Indicates the specific kind or category of wing that an entity possesses or is associated with.
-
D.
wingspan
Indicates the distance from the tip of one wing to the tip of the other wing when fully extended.
-
E.
hasWingsMadeOf
Indicates that one entity has wings whose material or composition is made from the other entity.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12881f9e0819091b8e6d8ff6802bd |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:27 p.m.