Triple
T7368088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shepparton |
E169920
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Tatura |
E637033
|
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: Tatura | Statement: [Shepparton, near, Tatura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tatura Context triple: [Shepparton, near, Tatura]
-
A.
Tatura
chosen
Tatura is a rural town in northern Victoria, Australia, known for its agricultural industries and historical World War II internment camps.
-
B.
Osek
Osek is a town in the Czech Republic historically associated with the family origins of writer Franz Kafka’s father, Hermann Kafka.
-
C.
Beroun
Beroun is a historic town in the Czech Republic known for its medieval architecture, scenic location at the confluence of the Berounka and Litavka rivers, and proximity to the Bohemian Karst nature reserve.
-
D.
Lučenec
Lučenec is a town in southern Slovakia known as a regional center of trade, transport, and culture in the Novohrad area.
-
E.
Švihov
Švihov is a small town in the Plzeň Region of the Czech Republic, known for its well-preserved water castle and its location on the Úhlava River.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f17fe278819094eb1dd886583c6a |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802bfaa10819083ab3137dbdeefb6 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:07 p.m.