Triple
T12594719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mito |
E300703
|
entity |
| Predicate | hasShrine |
P15258
|
FINISHED |
| Object | Tokiwa Shrine |
E1141907
|
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: Tokiwa Shrine | Statement: [Mito, hasShrine, Tokiwa Shrine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tokiwa Shrine Context triple: [Mito, hasShrine, Tokiwa Shrine]
-
A.
Tokiwa Shrine
chosen
Tokiwa Shrine is a Shinto shrine in Mito, Japan, known for its historical significance and scenic grounds that attract many visitors.
-
B.
Wakamiya Shrine
Wakamiya Shrine is a subsidiary Shinto shrine within the Tsurugaoka Hachimangū complex in Kamakura, Japan, known for its historical and religious significance.
-
C.
Atago Shrine
Atago Shrine is a historic Shinto shrine in Tokyo known for its steep stone stairway and hilltop location offering views over the city.
-
D.
Yaegaki Shrine
Yaegaki Shrine is a Shinto shrine in Matsue, Japan, famed for its association with the deity Susanoo-no-Mikoto and popular as a place to pray for love and marriage.
-
E.
Kifune Shrine
Kifune Shrine is an ancient Shinto shrine in the mountains north of Kyoto, renowned for its water deity worship, atmospheric lantern-lined approach, and picturesque riverside setting.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954cde3c0819094e74413d6dcf548 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed314bb9481908144c5399aa62ffa |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 9, 2026, 5:08 p.m.