Triple
T14690580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niigata Prefecture |
E345022
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Myoko
Myoko is a city in Japan known for its mountainous landscapes, hot springs, and popular ski resorts.
|
E1114944
|
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: Myoko | Statement: [Niigata Prefecture, containsCity, Myoko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myoko Context triple: [Niigata Prefecture, containsCity, Myoko]
-
A.
Miyako
Miyako is a coastal city in northeastern Japan known for its scenic ria coastline and proximity to Sanriku Fukko National Park.
-
B.
Miho
Miho is a deadly, silent assassin and protector of Old Town in Frank Miller's Sin City graphic novel series.
-
C.
Makiko
Makiko is a Japanese feminine given name commonly borne by women in Japan and of Japanese heritage.
-
D.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
-
E.
Miya
Miya is a Japanese honorific suffix historically used in imperial and aristocratic titles, particularly within branches of the Japanese Imperial Family such as the Higashikuni-no-miya.
- 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: Myoko Triple: [Niigata Prefecture, containsCity, Myoko]
Generated description
Myoko is a city in Japan known for its mountainous landscapes, hot springs, and popular ski resorts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Myoko Target entity description: Myoko is a city in Japan known for its mountainous landscapes, hot springs, and popular ski resorts.
-
A.
Miyako
Miyako is a coastal city in northeastern Japan known for its scenic ria coastline and proximity to Sanriku Fukko National Park.
-
B.
Miho
Miho is a deadly, silent assassin and protector of Old Town in Frank Miller's Sin City graphic novel series.
-
C.
Makiko
Makiko is a Japanese feminine given name commonly borne by women in Japan and of Japanese heritage.
-
D.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
-
E.
Miya
Miya is a Japanese honorific suffix historically used in imperial and aristocratic titles, particularly within branches of the Japanese Imperial Family such as the Higashikuni-no-miya.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb585d46c81908d6964130914cec4 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf08274ac8190b5ba0752d36a690b |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf21ff584819098d5bc66fd667edf |
completed | May 8, 2026, 2:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf2980d188190a81474df8097aab7 |
completed | May 8, 2026, 2:26 p.m. |
Created at: April 10, 2026, 1:28 a.m.