Triple
T17879004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karori Wildlife Sanctuary |
E447030
|
entity |
| Predicate | hasReintroducedSpecies |
P75880
|
FINISHED |
| Object | takahē |
—
|
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: takahē | Statement: [Karori Wildlife Sanctuary, hasReintroducedSpecies, takahē]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: takahē Context triple: [Karori Wildlife Sanctuary, hasReintroducedSpecies, takahē]
-
A.
takahē
chosen
The takahē is a large, flightless, and once-thought-extinct New Zealand rail known for its vivid blue-green plumage and conservation success story.
-
B.
Rangitihi
Rangitihi is a revered Polynesian ancestor regarded as a key progenitor of many Te Arawa tribal lineages in Aotearoa New Zealand.
-
C.
Matakohe
Matakohe is a small rural settlement in New Zealand best known for its Kauri Museum and historic connections to the kauri gum and timber industries.
-
D.
Tūpoho
Tūpoho is a Māori iwi (tribal group) from the Whanganui region of New Zealand, closely connected to the Whanganui River and its surrounding lands.
-
E.
Tariro
Tariro is a small settlement located on Abemama Atoll in the island nation of Kiribati in the central Pacific Ocean.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c0d219481909830fc269fc6beb5 |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.