Triple
T18527317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puma |
E452750
|
entity |
| Predicate | hasSpecies |
P965
|
FINISHED |
| Object | Puma concolor |
—
|
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: Puma concolor | Statement: [Puma, hasSpecies, Puma concolor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puma concolor Context triple: [Puma, hasSpecies, Puma concolor]
-
A.
Puma concolor
chosen
Puma concolor is a large, solitary wild cat species native to the Americas, commonly known as the cougar, mountain lion, or puma.
-
B.
Panthera onca
Panthera onca is the jaguar, a large, powerfully built wild cat native to the Americas and known for its distinctive rosette-patterned coat and strong bite.
-
C.
Pongo
Pongo is the intelligent and devoted Dalmatian dog who serves as the central canine protagonist in Disney’s "One Hundred and One Dalmatians."
-
D.
Pongo
Pongo is the nickname of Pongo Twistleton, a comic character from P. G. Wodehouse’s stories, particularly known for his misadventures with his Uncle Fred.
-
E.
Pongo
Pongo is a dialect of the Duala language spoken by the Duala people of Cameroon.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533f9bd1081909743b24e290b7dfe |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.