Triple
T22887598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandara-yu |
E567645
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Toyooka |
—
|
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: Toyooka | Statement: [Mandara-yu, locatedIn, Toyooka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toyooka Context triple: [Mandara-yu, locatedIn, Toyooka]
-
A.
Toyooka
chosen
Toyooka is a city in northern Hyogo Prefecture, Japan, known for its stork conservation efforts, hot spring resort Kinosaki Onsen, and scenic coastal and rural landscapes.
-
B.
Tatsumi
Tatsumi is a residential and waterfront area in Kōtō Ward, Tokyo, known for its housing complexes, sports facilities, and proximity to Tokyo Bay.
-
C.
Tatsumi
Tatsumi is a masculine Japanese given name commonly used for boys and borne by various notable figures in Japan.
-
D.
Funakaye
Funakaye is a local government area in northeastern Nigeria known for its predominantly rural communities and agricultural activities within Gombe State.
-
E.
Takanami
Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc2adb4819081bce7e6849ba31a |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.