Triple
T2721027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Ngauruhoe |
E60079
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | North Island |
E14332
|
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: North Island | Statement: [Mount Ngauruhoe, locatedIn, North Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Island Context triple: [Mount Ngauruhoe, locatedIn, North Island]
-
A.
North Island
chosen
North Island is one of New Zealand’s two main islands, known for its major cities, volcanic landscapes, and significant cultural and economic centers.
-
B.
King Island
King Island is a remote island in Bass Strait known for its rugged coastline, rich wildlife, and premium dairy and beef production.
-
C.
Northerly Island
Northerly Island is a man-made peninsula and park on Chicago’s lakefront known for its natural areas, walking trails, and concert venue with views of the city skyline.
-
D.
South Island
South Island is the larger of New Zealand’s two main islands, renowned for its dramatic mountains, fjords, and sparsely populated natural landscapes.
-
E.
South Island
South Island is one of the islands that make up Toronto’s waterfront Toronto Islands archipelago, known for its parkland and recreational spaces.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdab1cb808190b0789c76bc9cb090 |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0311527188190a034820f4ff30d5a |
completed | March 10, 2026, 2:56 p.m. |
Created at: March 6, 2026, 9:55 p.m.