Triple
T19676361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omitama |
E472461
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Namegata
Namegata is a city in Ibaraki Prefecture, Japan, known for its agricultural production and location along Lake Kasumigaura.
|
E1390507
|
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: Namegata | Statement: [Omitama, borderedBy, Namegata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namegata Context triple: [Omitama, borderedBy, Namegata]
-
A.
Sendagaya
Sendagaya is a neighborhood in Tokyo known for its sports facilities, including the National Stadium, and its proximity to Shinjuku and Harajuku.
-
B.
Jozenji-dori
Jozenji-dori is a tree-lined avenue in Sendai, Japan, known for its cultural events, scenic zelkova trees, and role as a central urban promenade.
-
C.
Kanramachi
Kanramachi is a Japanese town known for its cultural and municipal partnership with the Italian town of Certaldo.
-
D.
Matsuyamachi
Matsuyamachi is a traditional shopping district in central Osaka known for its long history of wholesale shops selling toys, dolls, and festival goods.
-
E.
Ashiharabashi
Ashiharabashi is a notable urban district in Osaka’s Naniwa Ward, known for its central location and convenient rail connections.
- 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: Namegata Triple: [Omitama, borderedBy, Namegata]
Generated description
Namegata is a city in Ibaraki Prefecture, Japan, known for its agricultural production and location along Lake Kasumigaura.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Namegata Target entity description: Namegata is a city in Ibaraki Prefecture, Japan, known for its agricultural production and location along Lake Kasumigaura.
-
A.
Sendagaya
Sendagaya is a neighborhood in Tokyo known for its sports facilities, including the National Stadium, and its proximity to Shinjuku and Harajuku.
-
B.
Jozenji-dori
Jozenji-dori is a tree-lined avenue in Sendai, Japan, known for its cultural events, scenic zelkova trees, and role as a central urban promenade.
-
C.
Kanramachi
Kanramachi is a Japanese town known for its cultural and municipal partnership with the Italian town of Certaldo.
-
D.
Matsuyamachi
Matsuyamachi is a traditional shopping district in central Osaka known for its long history of wholesale shops selling toys, dolls, and festival goods.
-
E.
Ashiharabashi
Ashiharabashi is a notable urban district in Osaka’s Naniwa Ward, known for its central location and convenient rail connections.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641bbea8c8190b0ad841d95068e0e |
completed | April 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0787c261808190b4bf53d0a7ecd54b |
completed | May 15, 2026, 8:53 p.m. |
| NEDg | Description generation | batch_6a0789df479881909750ae3fcf509dd9 |
completed | May 15, 2026, 9:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a078a70157081908b7137984dc05e42 |
completed | May 15, 2026, 9:04 p.m. |
Created at: April 10, 2026, 1:45 p.m.