Triple
T25982353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | rāpoka |
E646102
|
entity |
| Predicate | breedsMainlyOn |
P19710
|
FINISHED |
| Object | Auckland Islands |
—
|
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: Auckland Islands | Statement: [rāpoka, breedsMainlyOn, Auckland Islands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: breedsMainlyOn Context triple: [rāpoka, breedsMainlyOn, Auckland Islands]
-
A.
breedsIn
chosen
Indicates that an organism reproduces or carries out its breeding activities within a specified environment, habitat, or location.
-
B.
basedOnAnimalNativeTo
Indicates that something is derived from, inspired by, or modeled after an animal that is native to a specified geographic region.
-
C.
wasDomesticatedIn
Indicates that an entity became domesticated during or within a specified time period or historical era.
-
D.
primaryLivestock
Indicates that the specified livestock type is the main or most important kind of animal raised or kept by an entity.
-
E.
preysOn
Indicates that one entity hunts, kills, and consumes another entity as a food source.
- 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605102a1881909e83c4240c4ccdc6 |
completed | May 2, 2026, 2:07 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 22, 2026, 8:54 a.m.