Triple
T11603965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shibuya-ku |
E275204
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Meiji Shrine |
E26789
|
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: Meiji Shrine | Statement: [Shibuya-ku, contains, Meiji Shrine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meiji Shrine Context triple: [Shibuya-ku, contains, Meiji Shrine]
-
A.
Meiji Shrine
chosen
Meiji Shrine is a major Shinto shrine in Tokyo dedicated to Emperor Meiji and Empress Shōken, known for its expansive forested grounds and traditional ceremonies.
-
B.
Nezu Shrine
Nezu Shrine is a historic Shinto shrine in Tokyo renowned for its lush grounds, vermilion torii tunnel, and traditional architecture.
-
C.
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.
-
D.
Fushimi Inari Taisha
Fushimi Inari Taisha is a famous Shinto shrine in Japan renowned for its thousands of vermilion torii gates winding up the forested slopes of Mount Inari.
-
E.
Hirota Shrine
Hirota Shrine is a historic Shinto shrine in Nishinomiya, Hyōgo Prefecture, revered as one of the region’s principal religious sites.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d895502e0081909ee9c3d45d26cd91 |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5b196bc8190a643f2b534497476 |
completed | May 3, 2026, 7:13 a.m. |
Created at: April 8, 2026, 9:38 p.m.