Triple
T2745064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California red-legged frog |
E60845
|
entity |
| Predicate | largestNativeFrogIn |
P41337
|
FINISHED |
| Object | western United States |
—
|
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: western United States | Statement: [California red-legged frog, largestNativeFrogIn, western United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestNativeFrogIn Context triple: [California red-legged frog, largestNativeFrogIn, western United States]
-
A.
largestLiving
Indicates that the subject is the largest currently living instance of a given type or within a specified group or context.
-
B.
largestInCountry
Indicates that an entity is the largest of its kind within the specified country.
-
C.
basedOnAnimalNativeTo
Indicates that something is derived from, inspired by, or modeled after an animal that is native to a specified geographic region.
-
D.
maximumCarapaceLength
Indicates the greatest measured length of an organism’s carapace within the described context or dataset.
-
E.
stateReptile
Indicates that a particular reptile is officially designated as the state reptile of a given political region or jurisdiction.
- 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.