Triple
T13418365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoalhaven region |
E313272
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Vincentia |
E376472
|
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: Vincentia | Statement: [Shoalhaven region, hasTown, Vincentia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vincentia Context triple: [Shoalhaven region, hasTown, Vincentia]
-
A.
Vincentia
chosen
Vincentia is a coastal town in New South Wales, Australia, known for its white-sand beaches and location on the shores of Jervis Bay.
-
B.
Cosentia
Cosentia is the ancient Latin name of the city now known as Cosenza in southern Italy, historically an important center of the Bruttii in Calabria.
-
C.
Tinana
Tinana is a small town and suburb in Queensland, Australia, located near Maryborough in the Fraser Coast Region.
-
D.
Valsella
Valsella is a genus of ascomycete fungi in the order Diaporthales, known for species that often occur as plant-associated or plant-pathogenic organisms.
-
E.
Narembeen
Narembeen is a small agricultural town in Western Australia known for its grain and sheep farming within the state’s Wheatbelt.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb8416c8190a00dde0917c26f51 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73082a2548190aefc0f202b84165c |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:39 p.m.