Triple
T20136451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Melbourne |
E491036
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Geelong |
—
|
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: Geelong | Statement: [Port of Melbourne, nearbyCity, Geelong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geelong Context triple: [Port of Melbourne, nearbyCity, Geelong]
-
A.
Geelong
chosen
Geelong is a coastal city in the state of Victoria, Australia, known as a major regional center southwest of Melbourne.
-
B.
Warrnambool
Warrnambool is a coastal city in southwestern Victoria, Australia, known for its maritime history, whale watching, and proximity to the Great Ocean Road.
-
C.
Ballarat
Ballarat is a historic regional city in central Victoria, Australia, best known for its 19th-century gold rush heritage and well-preserved Victorian-era architecture.
-
D.
Castlemaine
Castlemaine is a historic gold rush town in central Victoria, Australia, known for its well-preserved heritage architecture, vibrant arts scene, and surrounding bushland.
-
E.
Fremantle
Fremantle is a global television production and distribution company known for creating and producing major entertainment formats and reality shows.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66767ba3881909c2bcb74a986bd29 |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:32 p.m.