Triple
T3424191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asakusa |
E72187
|
entity |
| Predicate | hasShrine |
P15258
|
FINISHED |
| Object | Asakusa Shrine |
E252443
|
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: Asakusa Shrine | Statement: [Asakusa, hasShrine, Asakusa Shrine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asakusa Shrine Context triple: [Asakusa, hasShrine, Asakusa Shrine]
-
A.
Asakusa Shrine
chosen
Asakusa Shrine is a historic Shinto shrine in Tokyo, Japan, renowned for its close association with the nearby Sensō-ji Temple and its role in the famous Sanja Matsuri festival.
-
B.
Nezu Shrine
Nezu Shrine is a historic Shinto shrine in Tokyo renowned for its lush grounds, vermilion torii tunnel, and traditional architecture.
-
C.
Sensō-ji
Sensō-ji is Tokyo’s oldest and one of its most famous Buddhist temples, renowned for its iconic Kaminarimon gate and bustling Asakusa temple complex.
-
D.
Kamigamo Shrine
Kamigamo Shrine is one of Kyoto’s oldest and most important Shinto shrines, renowned for its historic architecture and role in the Kamo faith tradition.
-
E.
Asakusa Engei Hall
Asakusa Engei Hall is a historic Tokyo entertainment venue renowned for its traditional rakugo comic storytelling and variety performances.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9533b588190a18a9b6495712ee0 |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4faec5fc4819090c8f55b819d436c |
completed | March 14, 2026, 6:06 a.m. |
Created at: March 8, 2026, 3:15 p.m.