Triple
T19939899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giona |
E479279
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Yona |
—
|
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: Yona | Statement: [Giona, relatedName, Yona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yona Context triple: [Giona, relatedName, Yona]
-
A.
Yona
chosen
Yona is a given name most notably associated with the influential Israeli poet Yona Wallach.
-
B.
Teyuna
Teyuna is the indigenous name for Colombia’s ancient pre-Hispanic city commonly known as Ciudad Perdida, a major archaeological site of the Tayrona civilization in the Sierra Nevada de Santa Marta.
-
C.
Yono
Yono was a former city in Saitama Prefecture, Japan, that later became part of the modern city of Saitama through municipal consolidation.
-
D.
Yagon
Yagon is a coastal camping and recreation area within New South Wales’ Myall Lakes National Park, known for its beaches, dunes, and bushland setting.
-
E.
Yesan
Yesan is an alternate name for the Tutelo language, a nearly extinct Siouan language historically spoken by the Tutelo people of eastern North America.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a19d77c819088bce99c94568d0d |
completed | April 20, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:53 p.m.