Triple
T38254052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rana tsushimensis |
E1017734
|
entity |
| Predicate | sympatricWith |
P190210
|
FINISHED |
| Object | Bufo torrenticola |
—
|
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: Bufo torrenticola | Statement: [Rana tsushimensis, sympatricWith, Bufo torrenticola]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sympatricWith Context triple: [Rana tsushimensis, sympatricWith, Bufo torrenticola]
-
A.
hasSympatricGenus
Indicates that two genera occur in the same geographic area or habitat range without being geographically isolated from each other.
-
B.
cohabitsWith
Indicates that two entities live together in the same dwelling or shared residence.
-
C.
isCommonlyFoundAt
Indicates that an entity typically or frequently occurs, appears, or is present in a particular location or context.
-
D.
hasCommonSpecies
Indicates that two entities share at least one species in common.
-
E.
consideredConspecificWith
Indicates that two organisms are regarded as belonging to the same species or treated as the same species for classification or analysis purposes.
- 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_69f76de33e4481909099fa812709bd42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc330b4288190858b49d986160706 |
completed | May 7, 2026, 4:52 p.m. |
Created at: May 3, 2026, 4:30 p.m.