Triple
T13197163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergalia |
E314141
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Moruya |
E80156
|
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: Moruya | Statement: [Bergalia, near, Moruya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moruya Context triple: [Bergalia, near, Moruya]
-
A.
Moruya
chosen
Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
-
B.
Machimura
Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
-
C.
Sumirago
Sumirago is a small town in the Lombardy region of northern Italy, known in fashion circles as the longtime base of the Missoni design house.
-
D.
Matui
Matui is an alternative spelling of the Japanese surname Matsui, which is borne by various notable individuals in fields such as sports, politics, and entertainment.
-
E.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c64290881909759ef3a281b6a68 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa11c81f481909129eef69e47d079 |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 9, 2026, 9:16 p.m.