Triple
T19530368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yayoi people |
E488637
|
entity |
| Predicate | notableSite |
P2462
|
FINISHED |
| Object | Toro site |
—
|
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: Toro site | Statement: [Yayoi people, notableSite, Toro site]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toro site Context triple: [Yayoi people, notableSite, Toro site]
-
A.
Toro site
chosen
Toro site is a significant Japanese archaeological site in Shizuoka Prefecture known for its well-preserved remains of a Yayoi-period agricultural settlement, including paddy fields and dwellings.
-
B.
Toro Kingdom
Toro Kingdom is a traditional Bantu monarchy in western Uganda, known for its cultural heritage and historical role as one of the successor states to the once-dominant Bunyoro Kingdom.
-
C.
Toro So
Toro So is a specific Dogon language variety spoken by the Dogon people of Mali.
-
D.
Toro Station
Toro Station is a railway station in Saitama, Japan, serving local commuters and visitors to nearby attractions such as Omiya Bonsai Village.
-
E.
Toro Tegu
Toro Tegu is a Dogon language spoken in Mali, known for its distinct phonology and grammar within the Dogon language family.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363ec6cc8190b9e9ac0196b288f9 |
completed | April 20, 2026, 2:20 p.m. |
Created at: April 10, 2026, 1:41 p.m.