Triple
T13494398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Toba |
E320721
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object |
Toba no misasagi
Toba no misasagi is the imperial mausoleum in Kyoto that serves as the traditional burial site of Japan’s Emperor Toba.
|
E1043302
|
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: Toba no misasagi | Statement: [Emperor Toba, burialPlace, Toba no misasagi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toba no misasagi Context triple: [Emperor Toba, burialPlace, Toba no misasagi]
-
A.
Tutuban
Tutuban is a major railway station and historic transport hub in Manila, Philippines, serving as the central terminal for several Philippine National Railways commuter services.
-
B.
Noboribetsu
Noboribetsu is a hot spring resort city in Hokkaido, Japan, famed for its dramatic volcanic landscapes and numerous onsen.
-
C.
Tepapuri
Tepapuri is one of the smaller islands that form part of the remote Gambier Islands archipelago in French Polynesia.
-
D.
Gotemba
Gotemba is a Japanese city in Shizuoka Prefecture known as a gateway to Mount Fuji and a popular base for outdoor activities and outlet shopping.
-
E.
Yamatokoriyama
Yamatokoriyama is a Japanese city in Nara Prefecture known for its historic Koriyama Castle and traditional goldfish breeding industry.
- 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: Toba no misasagi Triple: [Emperor Toba, burialPlace, Toba no misasagi]
Generated description
Toba no misasagi is the imperial mausoleum in Kyoto that serves as the traditional burial site of Japan’s Emperor Toba.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toba no misasagi Target entity description: Toba no misasagi is the imperial mausoleum in Kyoto that serves as the traditional burial site of Japan’s Emperor Toba.
-
A.
Tutuban
Tutuban is a major railway station and historic transport hub in Manila, Philippines, serving as the central terminal for several Philippine National Railways commuter services.
-
B.
Noboribetsu
Noboribetsu is a hot spring resort city in Hokkaido, Japan, famed for its dramatic volcanic landscapes and numerous onsen.
-
C.
Tepapuri
Tepapuri is one of the smaller islands that form part of the remote Gambier Islands archipelago in French Polynesia.
-
D.
Gotemba
Gotemba is a Japanese city in Shizuoka Prefecture known as a gateway to Mount Fuji and a popular base for outdoor activities and outlet shopping.
-
E.
Yamatokoriyama
Yamatokoriyama is a Japanese city in Nara Prefecture known for its historic Koriyama Castle and traditional goldfish breeding industry.
- 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_69dbaf4da2c88190a867b53529d39545 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463d3a948190aab07a25fd903d4e |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f7496187988190b42e51f192cd4a80 |
completed | May 3, 2026, 1:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74a0420908190b2b4988cc4d4a20a |
completed | May 3, 2026, 1:13 p.m. |
Created at: April 9, 2026, 9:43 p.m.