Triple
T5377934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fukuoka Prefecture |
E113007
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Yamada (historical, merged) |
E426932
|
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: Yamada (historical, merged) | Statement: [Fukuoka Prefecture, hasCity, Yamada (historical, merged)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yamada (historical, merged) Context triple: [Fukuoka Prefecture, hasCity, Yamada (historical, merged)]
-
A.
Yamada
chosen
Yamada is a common Japanese surname borne by many notable figures across fields such as politics, arts, sports, and academia.
-
B.
Yoshida
Yoshida is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and entertainment.
-
C.
Fujiyoshida
Fujiyoshida is a Japanese city in Yamanashi Prefecture, best known as a gateway to Mount Fuji and a popular base for climbers and tourists visiting the iconic volcano.
-
D.
Fujinomiya
Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
-
E.
Musashi-Koyama
Musashi-Koyama is a lively neighborhood in Tokyo known for its long covered shopping street, local eateries, and convenient urban living.
- 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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd86cb13ac81909dc364e7d3605844 |
completed | March 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf29465ff0819082c05dbe40a306f3 |
completed | March 21, 2026, 11:27 p.m. |
Created at: March 20, 2026, 2:03 p.m.