Triple
T13818505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deioces |
E332077
|
entity |
| Predicate | nameVariant |
P744
|
FINISHED |
| Object |
Daiukku
Daiukku is an alternative name for Deioces, the legendary founder and first king of the Median Empire in ancient Iran.
|
E1139635
|
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: Daiukku | Statement: [Deioces, nameVariant, Daiukku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daiukku Context triple: [Deioces, nameVariant, Daiukku]
-
A.
Daikoku
Daikoku is a prominent Japanese deity of wealth, agriculture, and household prosperity, often depicted with a mallet and rice bales and revered as one of the Seven Lucky Gods.
-
B.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
C.
Otomari
Otomari was a settlement in southern Sakhalin (then Karafuto) that served as a strategic Japanese military garrison area before and during World War II.
-
D.
Akiyoshidai
Akiyoshidai is Japan’s largest karst plateau, renowned for its expansive limestone formations, sinkholes, and scenic grasslands in Yamaguchi Prefecture.
-
E.
Hakutaka
Hakutaka is a high-speed train service operating on Japan’s Hokuriku Shinkansen line, connecting Tokyo with cities along the Sea of Japan coast.
- 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: Daiukku Triple: [Deioces, nameVariant, Daiukku]
Generated description
Daiukku is an alternative name for Deioces, the legendary founder and first king of the Median Empire in ancient Iran.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daiukku Target entity description: Daiukku is an alternative name for Deioces, the legendary founder and first king of the Median Empire in ancient Iran.
-
A.
Daikoku
Daikoku is a prominent Japanese deity of wealth, agriculture, and household prosperity, often depicted with a mallet and rice bales and revered as one of the Seven Lucky Gods.
-
B.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
C.
Otomari
Otomari was a settlement in southern Sakhalin (then Karafuto) that served as a strategic Japanese military garrison area before and during World War II.
-
D.
Akiyoshidai
Akiyoshidai is Japan’s largest karst plateau, renowned for its expansive limestone formations, sinkholes, and scenic grasslands in Yamaguchi Prefecture.
-
E.
Hakutaka
Hakutaka is a high-speed train service operating on Japan’s Hokuriku Shinkansen line, connecting Tokyo with cities along the Sea of Japan coast.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0281bb988190803ee195f430b9c8 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfcd67f081909f97bcf38d814a13 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec04c1f1c8190bbd2ada725505ca6 |
completed | May 9, 2026, 5:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec0da6e54819090f25bd0eee128d6 |
completed | May 9, 2026, 5:06 a.m. |
Created at: April 9, 2026, 10:12 p.m.