Triple
T2869836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuart Darwin |
E63531
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Darwin |
E2653
|
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: Darwin | Statement: [Stuart Darwin, hasSurname, Darwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darwin Context triple: [Stuart Darwin, hasSurname, Darwin]
-
A.
Darwin
chosen
Darwin is a surname most famously associated with Charles Darwin, the 19th-century naturalist whose theory of evolution by natural selection revolutionized biology.
-
B.
Darwin
Darwin is the tropical capital city of Australia's Northern Territory, known as a gateway to Southeast Asia and nearby natural attractions like Kakadu National Park.
-
C.
Darwin
Darwin is Apple's Unix-like core operating system that provides the low-level foundation for macOS, iOS, and other Apple platforms.
-
D.
Darwin Port
Darwin Port is the primary commercial seaport in Australia’s Northern Territory, serving as a key hub for regional trade, logistics, and maritime operations.
-
E.
City of Darwin
The City of Darwin is the local government area that encompasses Darwin, the tropical capital and largest city of Australia's Northern Territory.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfe15ff081908dd1dad62c292b2b |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0314fe01081908dad360ba7f3944e |
completed | March 10, 2026, 2:57 p.m. |
Created at: March 6, 2026, 10:02 p.m.