Triple
T3218230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bass Strait |
E67446
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Burnie |
E68331
|
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: Burnie | Statement: [Bass Strait, hasPort, Burnie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burnie Context triple: [Bass Strait, hasPort, Burnie]
-
A.
Burnie
chosen
Burnie is a coastal port city on the north-west coast of Tasmania, Australia, known for its industrial heritage and role as a regional commercial hub.
-
B.
Burnie
Burnie is the energetic, anthropomorphic flame mascot of the NBA’s Miami Heat, known for his bright orange fur and playful in-game antics.
-
C.
Blackwood
Blackwood is a town in south Wales known for its coal-mining heritage and location in the Sirhowy Valley.
-
D.
Lobethal
Lobethal is a small town in South Australia known for its German heritage and popular annual Christmas lights festival.
-
E.
Ochre City
Ochre City is a popular nickname for Marrakesh, referring to the Moroccan city's distinctive red and ochre-colored buildings and walls.
- 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_69ad858b8adc8190ad989712c87a476b |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adab0c48b481909d1bd9dc41dfa8c2 |
completed | March 8, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b26245dfb08190a051ec6d2dbc63c6 |
completed | March 12, 2026, 6:50 a.m. |
Created at: March 8, 2026, 3:08 p.m.