Triple
T23391948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokote, Akita |
E594041
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Ugo, Akita
Ugo, Akita is a rural town in Akita Prefecture, Japan, known for its heavy snowfall, traditional festivals, and agricultural landscape.
|
E1584528
|
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: Ugo, Akita | Statement: [Yokote, Akita, borderedBy, Ugo, Akita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ugo, Akita Context triple: [Yokote, Akita, borderedBy, Ugo, Akita]
-
A.
Kurō
Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
-
B.
Kesuke
Kesuke is the given first name of Mr. Miyagi, the iconic karate mentor from the "Karate Kid" film series.
-
C.
Ichirō
Ichirō is a common Japanese masculine given name that can be written with various kanji and is often associated with first-born sons.
-
D.
Kuniaki
Kuniaki is a Japanese masculine given name that can be written with various kanji combinations and has been borne by several notable figures, including politicians and athletes.
-
E.
Kinnosuke
Kinnosuke is the given name of the renowned Japanese novelist Natsume Sōseki, a central figure in modern Japanese literature.
- 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: Ugo, Akita Triple: [Yokote, Akita, borderedBy, Ugo, Akita]
Generated description
Ugo, Akita is a rural town in Akita Prefecture, Japan, known for its heavy snowfall, traditional festivals, and agricultural landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ugo, Akita Target entity description: Ugo, Akita is a rural town in Akita Prefecture, Japan, known for its heavy snowfall, traditional festivals, and agricultural landscape.
-
A.
Kurō
Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
-
B.
Kesuke
Kesuke is the given first name of Mr. Miyagi, the iconic karate mentor from the "Karate Kid" film series.
-
C.
Ichirō
Ichirō is a common Japanese masculine given name that can be written with various kanji and is often associated with first-born sons.
-
D.
Kuniaki
Kuniaki is a Japanese masculine given name that can be written with various kanji combinations and has been borne by several notable figures, including politicians and athletes.
-
E.
Kinnosuke
Kinnosuke is the given name of the renowned Japanese novelist Natsume Sōseki, a central figure in modern Japanese literature.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49ca5a0819091b74ca59e7fedd4 |
completed | April 29, 2026, 6:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dec070c81908e86b1c7fc50fc83 |
completed | May 19, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0c62311ff48190b740bba58180f100 |
completed | May 19, 2026, 1:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c62d82f908190acbe1fec58288df9 |
completed | May 19, 2026, 1:17 p.m. |
Created at: April 17, 2026, 5:36 p.m.