Triple
T14852740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanteibyo |
E349270
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Kantei-byō |
E17172
|
NE FINISHED |
How this triple was built (2 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: Kantei-byō | Statement: [Kanteibyo, alsoKnownAs, Kantei-byō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kantei-byō Context triple: [Kanteibyo, alsoKnownAs, Kantei-byō]
-
A.
Shin-kankakuha
Shin-kankakuha was a Japanese literary movement that emphasized new sensations and subjective perception, influencing writers such as Osamu Dazai in the early 20th century.
-
B.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
-
C.
Kashin
Kashin is a historic town in western Russia known for its medieval heritage and location along the Kashinka River.
-
D.
Kantei
chosen
Kantei is the official office and residence complex of Japan’s Prime Minister, serving as the central hub of the country’s executive government.
-
E.
Nihonzutsumi
Nihonzutsumi is a neighborhood in Tokyo’s Taitō ward known for its traditional shitamachi atmosphere and historic working-class character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded441e70881909bbf62b66d932aff |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6506ace48190819504b93f575660 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:54 a.m.