Triple
T2745089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California red-legged frog |
E60845
|
entity |
| Predicate | eggLaying |
P41340
|
FINISHED |
| Object | in large clusters attached to vegetation |
—
|
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: in large clusters attached to vegetation | Statement: [California red-legged frog, eggLaying, in large clusters attached to vegetation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eggLaying Context triple: [California red-legged frog, eggLaying, in large clusters attached to vegetation]
-
A.
eggIncubation
Indicates that one entity is keeping another (typically an egg) under suitable conditions for development until it hatches.
-
B.
eggType
Indicates the specific category or kind of egg associated with an entity (e.g., its classification or type).
-
C.
eggProductionLevel
Indicates the quantity or rate at which eggs are produced by an entity over a given period.
-
D.
eggStorageRequirement
Indicates the specific conditions or methods required for properly storing eggs.
-
E.
averageEggColor
Indicates that there is a characteristic or typical egg color associated with an entity, representing the average hue of its eggs.
- 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_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. |
| PDg | Predicate description generation | batch_69abd8dd05c48190b4f90031642c4091 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:56 p.m.