Triple
T20949083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Highway A87 |
E515929
|
entity |
| Predicate | terminusNorth |
P3375
|
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: [National Highway A87, terminusNorth, Darwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darwin Context triple: [National Highway A87, terminusNorth, 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 a fictional orange goldfish and one of the main characters from the animated television series "The Amazing World of Gumball."
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fadc08148190b4ff710f94462a26 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 1:15 p.m.