Triple
T9092890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katsuya |
E217933
|
entity |
| Predicate | canBeWrittenAs |
P12679
|
FINISHED |
| Object |
勝谷
勝谷 is a Japanese surname and given name that can refer to various individuals, often written with kanji meaning "victory" and "valley."
|
E777779
|
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: 勝谷 | Statement: [Katsuya, canBeWrittenAs, 勝谷]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 勝谷 Context triple: [Katsuya, canBeWrittenAs, 勝谷]
-
A.
Huangcun
Huangcun is a town in Beijing, China, that serves as the administrative and commercial center of the city's southern Daxing District.
-
B.
Suihua
Suihua is a prefecture-level city in northeastern China known for its agricultural production and cold climate.
-
C.
Gaoyang
Gaoyang is a legendary figure in ancient Chinese mythology, often associated with early royal lineages and revered as an ancestral progenitor by various clans.
-
D.
Guangshun
Guangshun was the brief final era name used by the Later Zhou dynasty in 10th-century China, marking the closing phase of that regime before the rise of the Song dynasty.
-
E.
Guanghe
Guanghe was an era name used during the reign of Emperor Ling of the Eastern Han dynasty in ancient China.
- 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: 勝谷 Triple: [Katsuya, canBeWrittenAs, 勝谷]
Generated description
勝谷 is a Japanese surname and given name that can refer to various individuals, often written with kanji meaning "victory" and "valley."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 勝谷 Target entity description: 勝谷 is a Japanese surname and given name that can refer to various individuals, often written with kanji meaning "victory" and "valley."
-
A.
Huangcun
Huangcun is a town in Beijing, China, that serves as the administrative and commercial center of the city's southern Daxing District.
-
B.
Suihua
Suihua is a prefecture-level city in northeastern China known for its agricultural production and cold climate.
-
C.
Gaoyang
Gaoyang is a legendary figure in ancient Chinese mythology, often associated with early royal lineages and revered as an ancestral progenitor by various clans.
-
D.
Guangshun
Guangshun was the brief final era name used by the Later Zhou dynasty in 10th-century China, marking the closing phase of that regime before the rise of the Song dynasty.
-
E.
Guanghe
Guanghe was an era name used during the reign of Emperor Ling of the Eastern Han dynasty in ancient China.
- 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b347d4819085b33d0e20834f47 |
completed | April 1, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d017f85c908190a4e90c22a75348b5 |
completed | April 3, 2026, 7:41 p.m. |
| NEDg | Description generation | batch_69d019652fe8819096cccb8cff431261 |
completed | April 3, 2026, 7:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d01a290de881909482b7eb70bef0e3 |
completed | April 3, 2026, 7:51 p.m. |
Created at: March 30, 2026, 7:14 p.m.