Triple
T2378787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence, Otago |
E46262
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Otago |
E141724
|
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: Otago | Statement: [Lawrence, Otago, locatedIn, Otago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otago Context triple: [Lawrence, Otago, locatedIn, Otago]
-
A.
Otago
chosen
Otago is a large region in the south of New Zealand known for its dramatic landscapes, historic gold-mining heritage, and the university city of Dunedin.
-
B.
Taranaki Region
Taranaki Region is a coastal region on New Zealand’s North Island, dominated by the volcanic peak of Mount Taranaki and known for its dairy farming and rugged surf beaches.
-
C.
Tasman District
Tasman District is a local government district in the northwest of New Zealand’s South Island, known for its coastal landscapes, national parks, and outdoor recreation.
-
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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7974aa481908799ef2f854d1c9d |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8af12bc8190a6667beb729406a3 |
completed | March 9, 2026, 11:02 a.m. |
Created at: March 4, 2026, 7:57 p.m.