Triple
T2745017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California condor |
E60844
|
entity |
| Predicate | breedingFrequency |
P8769
|
FINISHED |
| Object | typically once every two years |
—
|
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: typically once every two years | Statement: [California condor, breedingFrequency, typically once every two years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: breedingFrequency Context triple: [California condor, breedingFrequency, typically once every two years]
-
A.
breedingInterval
chosen
Indicates the typical time period that elapses between successive breeding or reproductive events for an organism.
-
B.
breedingMethod
Indicates the technique or process by which organisms are bred or reproduced.
-
C.
reproductionRate
Indicates the frequency or speed at which an entity produces new offspring or copies of itself over a given time or condition.
-
D.
reproductionType
Indicates the mode or method by which an organism reproduces or generates offspring.
-
E.
breedingUse
Indicates that one entity is used for breeding or reproductive purposes with respect to another 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb4d37a481908cc2ad4666f3ac94 |
completed | March 7, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69abd829f1e88190aab1d54f87c69714 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.