Triple
T3877329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mimosa Rocks National Park |
E92534
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Bega |
E75307
|
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: Bega | Statement: [Mimosa Rocks National Park, locatedNear, Bega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bega Context triple: [Mimosa Rocks National Park, locatedNear, Bega]
-
A.
Bega
chosen
Bega is a rural town in New South Wales, Australia, best known as a major dairy and cheese-producing centre.
-
B.
Bega Valley
Bega Valley is a coastal region in southeastern New South Wales, Australia, known for its dairy industry, scenic beaches, and rural landscapes.
-
C.
Muggia
Muggia is a coastal town in northeastern Italy near the border with Slovenia, known for its Venetian-style historic center and small harbor on the Gulf of Trieste.
-
D.
Gantenbein
Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
-
E.
Walewein
Walewein is the Middle Dutch name for Sir Gawain, a prominent knight of the Round Table in Arthurian legend known for his chivalry and complex moral tests.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec719c148190a731773ac262221b |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51251609c81909e19132475eb612d |
completed | March 14, 2026, 7:46 a.m. |
Created at: March 9, 2026, 3:20 p.m.