Triple
T18592307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruapehu District |
E454398
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Ohakune |
E290323
|
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: Ohakune | Statement: [Ruapehu District, containsTown, Ohakune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ohakune Context triple: [Ruapehu District, containsTown, Ohakune]
-
A.
Ohakune
chosen
Ohakune is a small New Zealand town on the North Island known as a gateway to Mount Ruapehu and the Tongariro National Park, as well as for its ski tourism and carrot farming.
-
B.
Kaniaga
Kaniaga was the principal city and political center of the medieval West African Sosso state.
-
C.
Kawasoe
Kawasoe is a locality in Saga Prefecture, Japan, situated near Saga Airport and serving as part of the surrounding regional community.
-
D.
Kogarah
Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
-
E.
Sasayama
Sasayama is a historic castle town in Hyōgo Prefecture, Japan, known for its well-preserved Edo-period streets, Sasayama Castle ruins, and traditional local cuisine.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b6792481908eae92718aa4c889 |
completed | April 19, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d6cb808819091cc54c9f7fb15ba |
completed | May 13, 2026, 11:46 p.m. |
Created at: April 10, 2026, 11:44 a.m.