Triple
T30879208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashmir woolly flying squirrel |
E786562
|
entity |
| Predicate | firstDescribedAsSpecies |
P25254
|
FINISHED |
| Object | 19th century |
—
|
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: 19th century | Statement: [Kashmir woolly flying squirrel, firstDescribedAsSpecies, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstDescribedAsSpecies Context triple: [Kashmir woolly flying squirrel, firstDescribedAsSpecies, 19th century]
-
A.
firstDescribedAs
chosen
Indicates the original way or terms in which something was initially characterized, named, or documented.
-
B.
firstDescribedAsGenusBy
Indicates that one entity was the first to formally describe another entity as a genus in a taxonomic or scientific context.
-
C.
describedAsSpecies
Indicates that one entity is characterized or identified as a particular species in relation to another entity.
-
D.
firstDescribedAsSubspeciesOf
Indicates that one entity was originally described or classified as a subspecies of another entity.
-
E.
firstOfSpeciesIn
Indicates that an entity is the earliest or original member of its species to appear or occur within a specified context, location, or timeframe.
- 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_69f224bae17c8190bb3a6a28e3d019df |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a03433dd64c8190ab620709153b6278 |
completed | May 12, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_6a034107e53881909127bac98cac3429 |
completed | May 12, 2026, 3:02 p.m. |
Created at: April 29, 2026, 8:48 p.m.