Triple
T22577945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Quest |
E544465
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Tona |
—
|
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: Tona | Statement: [Lord Quest, collaboratedWith, Tona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tona Context triple: [Lord Quest, collaboratedWith, Tona]
-
A.
Tona
chosen
Tona is a municipality in the comarca of Osona in Catalonia, Spain, known for its rural character and proximity to the city of Vic.
-
B.
Tamaroa
The Tamaroa were a Native American tribe of the Illinois Confederation who traditionally lived along the Mississippi River in what is now Illinois.
-
C.
Tsorona
Tsorona is a town in the Tigray region of northern Ethiopia, near the Eritrean border, known for being a strategic site in the Eritrean–Ethiopian conflicts.
-
D.
Tongaat
Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
-
E.
Nawuli
Nawuli is an alternative name for the Nawuri language, a Guang language spoken primarily in parts of Ghana.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15feee27c8190b31c923e1f00a363 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.