Triple
T3454542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | swamp wallaby |
E72871
|
entity |
| Predicate | binomialName |
P569
|
FINISHED |
| Object | Wallabia bicolor |
E150409
|
NE 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: Wallabia bicolor | Statement: [swamp wallaby, binomialName, Wallabia bicolor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wallabia bicolor Context triple: [swamp wallaby, binomialName, Wallabia bicolor]
-
A.
Wallabia
chosen
Wallabia is a genus of marsupials that includes the swamp wallaby, a small to medium-sized grazing macropod native to eastern Australia.
-
B.
Rusa unicolor
Rusa unicolor, commonly known as the sambar deer, is a large, dark-coated deer native to the Indian subcontinent, southern China, and Southeast Asia.
-
C.
Veluws
Veluws is a Dutch Low Saxon dialect spoken in the Veluwe region of the Netherlands, closely related to other eastern Dutch dialects such as Achterhooks.
-
D.
Lycaon pictus
Lycaon pictus is a highly social, endangered African canid known for its mottled coat, cooperative hunting, and complex pack structure.
-
E.
Pongo
Pongo is the intelligent and devoted Dalmatian dog who serves as the central canine protagonist in Disney’s "One Hundred and One Dalmatians."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbaa5e2188190a8157cb8dcca8d30 |
completed | March 8, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360fc823c8190a0f1807b39706b3f |
completed | March 13, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:16 p.m.