Triple
T19471201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sepilok Orangutan Rehabilitation Centre |
E487126
|
entity |
| Predicate | focusSpecies |
P68322
|
FINISHED |
| Object | Pongo pygmaeus |
—
|
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: Pongo pygmaeus | Statement: [Sepilok Orangutan Rehabilitation Centre, focusSpecies, Pongo pygmaeus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pongo pygmaeus Context triple: [Sepilok Orangutan Rehabilitation Centre, focusSpecies, Pongo pygmaeus]
-
A.
Pongo
Pongo is the intelligent and devoted Dalmatian dog who serves as the central canine protagonist in Disney’s "One Hundred and One Dalmatians."
-
B.
Pongo
Pongo is a dialect of the Duala language spoken by the Duala people of Cameroon.
-
C.
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.
-
D.
Pongo
chosen
Pongo is the genus of great apes commonly known as orangutans, native to the rainforests of Borneo and Sumatra.
-
E.
Pudu
Pudu is a genus of the world’s smallest deer, native to the temperate rainforests of South America.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e809008190b0021d41b99f9700 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:39 p.m.