Triple
T6200382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryukyu Kingdom |
E138613
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object |
Hokuzan
Hokuzan was a medieval kingdom in northern Okinawa that existed before the unification of the Ryukyu Islands under the Ryukyu Kingdom.
|
E575843
|
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: Hokuzan | Statement: [Ryukyu Kingdom, predecessor, Hokuzan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hokuzan Context triple: [Ryukyu Kingdom, predecessor, Hokuzan]
-
A.
Takayoshi
Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
-
B.
Takamori
Takamori is the given name of Saigō Takamori, a prominent 19th-century Japanese samurai and political figure often called the "last true samurai."
-
C.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
D.
Tokiwa Gozen
Tokiwa Gozen was a famed beauty and noblewoman of late Heian-period Japan, celebrated in legend for her courage and sacrifice during the Genpei War era.
-
E.
Kinsaku
Kinsaku is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and literary figure.
- 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: Hokuzan Triple: [Ryukyu Kingdom, predecessor, Hokuzan]
Generated description
Hokuzan was a medieval kingdom in northern Okinawa that existed before the unification of the Ryukyu Islands under the Ryukyu Kingdom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hokuzan Target entity description: Hokuzan was a medieval kingdom in northern Okinawa that existed before the unification of the Ryukyu Islands under the Ryukyu Kingdom.
-
A.
Takayoshi
Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
-
B.
Takamori
Takamori is the given name of Saigō Takamori, a prominent 19th-century Japanese samurai and political figure often called the "last true samurai."
-
C.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
D.
Tokiwa Gozen
Tokiwa Gozen was a famed beauty and noblewoman of late Heian-period Japan, celebrated in legend for her courage and sacrifice during the Genpei War era.
-
E.
Kinsaku
Kinsaku is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and literary figure.
- 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062547cd48190a2715537b961262e |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f366cfc81909cca73677268821a |
completed | March 23, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_69c1e375c5948190ad166089e866694a |
completed | March 24, 2026, 1:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1e43fa8348190a2247996d88b5011 |
completed | March 24, 2026, 1:09 a.m. |
Created at: March 22, 2026, 4:20 p.m.