Triple
T6465873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | jingū |
E142230
|
entity |
| Predicate | contrastedWith |
P278
|
FINISHED |
| Object |
taisha
Taisha is a traditional Japanese term for a grand or major Shinto shrine, historically denoting particularly important sanctuaries.
|
E593617
|
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: taisha | Statement: [jingū, contrastedWith, taisha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: taisha Context triple: [jingū, contrastedWith, taisha]
-
A.
Taishin-in
Taishin-in was Japan’s prewar highest judicial body, serving as the nation’s supreme court under the Meiji Constitution before being replaced by the modern Supreme Court of Japan.
-
B.
Tōshō
Tōshō is the commonly used Japanese abbreviation for the Tokyo Stock Exchange, one of the world’s largest and most influential stock markets.
-
C.
Tamada
Tamada is the traditional Georgian toastmaster who leads feasts and orchestrates toasts during the supra, Georgia’s ceremonial banquet.
-
D.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
E.
Daibutsu
Daibutsu is the monumental Great Buddha statue of Nara, a colossal bronze image of Vairocana Buddha and one of Japan’s most famous religious icons.
- 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: taisha Triple: [jingū, contrastedWith, taisha]
Generated description
Taisha is a traditional Japanese term for a grand or major Shinto shrine, historically denoting particularly important sanctuaries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: taisha Target entity description: Taisha is a traditional Japanese term for a grand or major Shinto shrine, historically denoting particularly important sanctuaries.
-
A.
Taishin-in
Taishin-in was Japan’s prewar highest judicial body, serving as the nation’s supreme court under the Meiji Constitution before being replaced by the modern Supreme Court of Japan.
-
B.
Tōshō
Tōshō is the commonly used Japanese abbreviation for the Tokyo Stock Exchange, one of the world’s largest and most influential stock markets.
-
C.
Tamada
Tamada is the traditional Georgian toastmaster who leads feasts and orchestrates toasts during the supra, Georgia’s ceremonial banquet.
-
D.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
E.
Daibutsu
Daibutsu is the monumental Great Buddha statue of Nara, a colossal bronze image of Vairocana Buddha and one of Japan’s most famous religious icons.
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06a1159ec81909bbfa9a9d6fa1616 |
completed | March 22, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bea685c8190ad647a61b6e969e5 |
completed | March 27, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c64d5f8dcc81908dc15e75acac8d16 |
completed | March 27, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64dcfe90c819080dfc48240068d37 |
completed | March 27, 2026, 9:28 a.m. |
Created at: March 22, 2026, 4:49 p.m.