Triple
T16888995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngāti Maru iwi |
E421614
|
entity |
| Predicate | hasEthnonym |
P1435
|
FINISHED |
| Object | Ngāti Maru |
E902486
|
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: Ngāti Maru | Statement: [Ngāti Maru iwi, hasEthnonym, Ngāti Maru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngāti Maru Context triple: [Ngāti Maru iwi, hasEthnonym, Ngāti Maru]
-
A.
Ngāti Maru
chosen
Ngāti Maru is a Māori iwi (tribe) of Aotearoa New Zealand, traditionally based in the Taranaki region and recognized as a distinct Treaty of Waitangi settlement group.
-
B.
Nippon Maru
Nippon Maru is a historic Japanese sailing ship, now preserved as a museum vessel and landmark in Yokohama.
-
C.
Montevideo Maru
Montevideo Maru was a Japanese auxiliary transport ship sunk in 1942 while carrying Australian prisoners of war and civilians, resulting in one of Australia's worst maritime disasters.
-
D.
Tom Paine Maru
Tom Paine Maru is a libertarian science fiction novel by L. Neil Smith that explores themes of individual freedom, anti-authoritarianism, and revolutionary politics in a spacefaring setting.
-
E.
Hikawa Maru
Hikawa Maru is a historic Japanese ocean liner, now preserved as a museum ship and popular tourist attraction in Yokohama.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc2f6d081909c76fa2a6b87e083 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2c1eee48190bc906e658d7729a4 |
completed | May 10, 2026, 5:39 p.m. |
Created at: April 10, 2026, 5:29 a.m.