Triple
T22508262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nogizaka Station |
E556443
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Nogizaka |
—
|
NE NERFINISHED |
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: Nogizaka | Statement: [Nogizaka Station, namedAfter, Nogizaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nogizaka Context triple: [Nogizaka Station, namedAfter, Nogizaka]
-
A.
Nogizaka
chosen
Nogizaka is a district in Tokyo, Japan, known for its upscale urban atmosphere and proximity to cultural landmarks and institutions.
-
B.
Tameyoshi
Tameyoshi was a Heian-period Japanese samurai leader of the Minamoto clan who played a key role in early clan conflicts that preceded the Genpei War.
-
C.
Kumagai Gumi
Kumagai Gumi is a major Japanese construction and civil engineering company known for undertaking large-scale infrastructure projects worldwide.
-
D.
Usaka
Usaka is a town in the Ikwuano local government area of Abia State in southeastern Nigeria.
-
E.
Shiota
Shiota is a Japanese surname borne by various notable individuals across fields such as politics, sports, and the arts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5dec7c8190bf71ef76a2dfe9a4 |
completed | April 29, 2026, 1:22 a.m. |
Created at: April 16, 2026, 8:50 p.m.