Triple
T33249201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | go-away-birds |
E851188
|
entity |
| Predicate | genusOfMostSpecies |
P175937
|
FINISHED |
| Object | Corythaixoides |
—
|
NE NERFINISHED |
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: Corythaixoides | Statement: [go-away-birds, genusOfMostSpecies, Corythaixoides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genusOfMostSpecies Context triple: [go-away-birds, genusOfMostSpecies, Corythaixoides]
-
A.
numberOfGenera
Indicates the total count of genera associated with or contained within a given entity.
-
B.
genusSize
Indicates the number of species or subordinate taxa contained within a given genus.
-
C.
mostNumerousSubspeciesOf
Indicates that one subspecies has the largest population size compared to all other subspecies within the same parent species.
-
D.
largestFamilyBySpeciesCount
Indicates that the referenced family is the one with the greatest number of species compared to all other families in the given context.
-
E.
numberOfSpecies
Indicates the count of distinct species associated with a given entity or context.
- 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_69f34962386c81909ddc3bf9e18ddeb8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db3606808190a80c6e9f5da5b33e |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82fef788190b9ad19a36c0312dc |
completed | May 3, 2026, 5:08 a.m. |
| PDg | Predicate description generation | batch_69f6daa2fc0c8190b84f018abe8baa6a |
completed | May 3, 2026, 5:18 a.m. |
Created at: May 1, 2026, 1:31 a.m.