Triple
T20262352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Point Road |
E498872
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Darwin |
—
|
NE NERFINISHED |
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: [East Point Road, locatedIn, Darwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darwin Context triple: [East Point Road, locatedIn, Darwin]
-
A.
Darwin
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
chosen
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
Darwin is a small settlement on East Falkland in the Falkland Islands, known historically for sheep farming and its role in the Falklands War.
-
E.
Darwin
Darwin is the talking, intelligent chimpanzee who serves as Eliza Thornberry’s close companion and voice of reason in the animated series and film "The Wild Thornberrys."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674cba2748190a886ecd8316dc518 |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.