Triple
T1494712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sect Shinto |
E29659
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Jikkokyo |
E170453
|
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: Jikkokyo | Statement: [Sect Shinto, hasPart, Jikkokyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jikkokyo Context triple: [Sect Shinto, hasPart, Jikkokyo]
-
A.
Konkokyo
Konkokyo is a Japanese new religious movement rooted in Shinto traditions that emphasizes faith in a benevolent deity, ethical living, and mutual help in everyday life.
-
B.
Shinto Taikyo
chosen
Shinto Taikyo is a Shinto religious sect in Japan that emphasizes traditional Shinto rituals and teachings within the broader framework of Sect Shinto.
-
C.
Dogenzaka
Dogenzaka is a lively entertainment and shopping district in Shibuya, Tokyo, known for its nightlife, restaurants, and proximity to the famous Shibuya Crossing.
-
D.
Kōkyo
Kōkyo is the primary residence of Japan’s Emperor, a historic palace complex and gardens located in central Tokyo.
-
E.
To-ji
To-ji is a historic Buddhist temple in Kyoto, Japan, famed for its five-story pagoda—the tallest wooden tower in the country—and its status as a UNESCO World Heritage Site.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c78c9481909b210b845aa6e9df |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2943545c8190a2246a41d712528b |
completed | March 8, 2026, 7:46 a.m. |
Created at: March 1, 2026, 8:12 p.m.