Triple
T16264518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domyoji Tenmangu |
E394839
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Fujiidera |
—
|
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: Fujiidera | Statement: [Domyoji Tenmangu, locatedIn, Fujiidera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fujiidera Context triple: [Domyoji Tenmangu, locatedIn, Fujiidera]
-
A.
Fujiidera
chosen
Fujiidera is a city in Osaka Prefecture, Japan, known for its historical temples and role as a residential and commercial suburb in the Kansai region.
-
B.
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.
-
C.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
D.
Fukusaki
Fukusaki is a town in Hyōgo Prefecture, Japan, known for its rural setting and association with folklorist Kunio Yanagita.
-
E.
Oyamazaki
Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c672248190a4261be4696d52c5 |
completed | April 17, 2026, 2:37 p.m. |
Created at: April 10, 2026, 5:05 a.m.