Triple
T14167077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 千代田区 |
E351107
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | 靖国神社 |
E291705
|
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: 靖国神社 | Statement: [千代田区, hasLandmark, 靖国神社]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 靖国神社 Context triple: [千代田区, hasLandmark, 靖国神社]
-
A.
白山神社
白山神社は、東京都文京区にある白山信仰の中心的な古社で、紫陽花の名所としても知られる神社です。
-
B.
八坂神社
八坂神社 is a famous Shinto shrine in Kyoto, Japan, renowned for hosting the Gion Matsuri, one of the country’s most celebrated annual festivals.
-
C.
Yasukuni Shrine
chosen
Yasukuni Shrine is a controversial Shinto shrine in Tokyo dedicated to Japan’s war dead, including convicted war criminals, and is a frequent source of diplomatic tension in East Asia.
-
D.
赤坂御用地
赤坂御用地は、東京都港区赤坂に位置する日本の皇室関連施設が集まる広大な御用地で、皇族方の御所や宮邸が置かれているエリアである。
-
E.
敬宮
敬宮 is the courtesy name of Princess Aiko, the only child of Emperor Naruhito and Empress Masako of Japan.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b355f08190864c7322bbcb766d |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7f57ad88190aeb8ee0f834bfa20 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 1 a.m.