Triple
T22440106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 香淳皇后 |
E554731
|
entity |
| Predicate | 出生地 |
P1
|
FINISHED |
| Object | 日本・東京市麹町区 |
—
|
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: 日本・東京市麹町区 | Statement: [香淳皇后, 出生地, 日本・東京市麹町区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 日本・東京市麹町区 Context triple: [香淳皇后, 出生地, 日本・東京市麹町区]
-
A.
日本・東京都港区
日本・東京都港区は、東京湾に面し多くの大企業本社や大使館、商業施設が集まる東京都心の主要な行政区の一つです。
-
B.
Chiyoda, Tokyo, Japan
chosen
Chiyoda is a central special ward of Tokyo that serves as Japan’s political and administrative heart, housing the Imperial Palace, the National Diet, and many government institutions.
-
C.
Bunkyō, Tokyo, Japan
Bunkyō, Tokyo, Japan is a central Tokyo ward known for its educational and cultural institutions, historic temples, and residential neighborhoods, including the main campus of the University of Tokyo.
-
D.
Kōtō, Tokyo, Japan
Kōtō is a special ward in eastern Tokyo known for its waterfront areas, reclaimed land, and a mix of residential neighborhoods, commercial districts, and large-scale facilities.
-
E.
Suginami, Tokyo, Japan
Suginami is a residential ward in western Tokyo known for its quiet neighborhoods, anime studios, and numerous shrines and parks.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae0edcc8190919b198035de0df2 |
completed | April 29, 2026, 1:12 a.m. |
Created at: April 16, 2026, 8:47 p.m.