Triple
T13492345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nijūnisha |
E320666
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Niu Kawakami Jinja
Niu Kawakami Jinja is a historic Shinto shrine in Japan, revered for its ancient mountain worship and association with rain and water deities.
|
E1050460
|
NE FINISHED |
How this triple was built (4 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: Niu Kawakami Jinja | Statement: [Nijūnisha, hasMember, Niu Kawakami Jinja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niu Kawakami Jinja Context triple: [Nijūnisha, hasMember, Niu Kawakami Jinja]
-
A.
Owakudani
Owakudani is a volcanic valley in Hakone, Japan, famous for its active sulfur vents, hot springs, and scenic views of Mount Fuji.
-
B.
Shoin Jinja
Shoin Jinja is a Shinto shrine in Tokyo dedicated to the influential late-Edo period thinker and educator Yoshida Shōin.
-
C.
Fukusaki
Fukusaki is a town in Hyōgo Prefecture, Japan, known for its rural setting and association with folklorist Kunio Yanagita.
-
D.
Kichijōji
Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
-
E.
Marunouchi
Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Niu Kawakami Jinja Triple: [Nijūnisha, hasMember, Niu Kawakami Jinja]
Generated description
Niu Kawakami Jinja is a historic Shinto shrine in Japan, revered for its ancient mountain worship and association with rain and water deities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Niu Kawakami Jinja Target entity description: Niu Kawakami Jinja is a historic Shinto shrine in Japan, revered for its ancient mountain worship and association with rain and water deities.
-
A.
Owakudani
Owakudani is a volcanic valley in Hakone, Japan, famous for its active sulfur vents, hot springs, and scenic views of Mount Fuji.
-
B.
Shoin Jinja
Shoin Jinja is a Shinto shrine in Tokyo dedicated to the influential late-Edo period thinker and educator Yoshida Shōin.
-
C.
Fukusaki
Fukusaki is a town in Hyōgo Prefecture, Japan, known for its rural setting and association with folklorist Kunio Yanagita.
-
D.
Kichijōji
Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
-
E.
Marunouchi
Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
- F. None of above. chosen
Provenance (5 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4c66008190b287e0551889d7c8 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f7fcab0819091146d54d56f08d7 |
completed | May 3, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69f78125632881908d601ee4c4aaae35 |
completed | May 3, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f781e32cb48190abc83e65405ac8ac |
completed | May 3, 2026, 5:12 p.m. |
Created at: April 9, 2026, 9:43 p.m.