Triple
T10105709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alectura |
E216314
|
entity |
| Predicate | hasSpecies |
P965
|
FINISHED |
| Object | Alectura lathami |
E41397
|
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: Alectura lathami | Statement: [Alectura, hasSpecies, Alectura lathami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alectura lathami Context triple: [Alectura, hasSpecies, Alectura lathami]
-
A.
Alectura lathami
chosen
Alectura lathami, commonly known as the Australian brush-turkey, is a large ground-dwelling megapode bird native to eastern Australia, noted for building massive incubation mounds of leaf litter.
-
B.
Alectura
Alectura is a genus of large, ground-dwelling Australian birds in the megapode family, best known for the brush-turkey.
-
C.
Luath
Luath is one of the two philosophizing dogs in Robert Burns’s poem “The Twa Dogs,” representing the perspective of the poor and working class.
-
D.
Lezgin
Lezgin is a Northeast Caucasian language spoken primarily by the Lezgin people in southern Dagestan (Russia) and northern Azerbaijan.
-
E.
Letta
Letta is an Italian surname most prominently associated with political figures such as Gianni Letta and former Prime Minister Enrico Letta.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09dde888190bb550a3cd0b204fe |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc0572e08190a8ef4d620ac27d88 |
completed | April 5, 2026, 8:54 p.m. |
Created at: March 30, 2026, 9:03 p.m.