Triple
T22533345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 東京都港区 |
E557098
|
entity |
| Predicate | containsDistrict |
P22582
|
FINISHED |
| Object | 汐留 |
—
|
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: 汐留 | Statement: [東京都港区, containsDistrict, 汐留]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 汐留 Context triple: [東京都港区, containsDistrict, 汐留]
-
A.
汐留
chosen
汐留 is a modern waterfront district in Tokyo known for its high-rise office towers, media headquarters, shopping complexes, and proximity to Shiodome Shiosite and Hamarikyu Gardens.
-
B.
二子玉川
二子玉川 is a riverside commercial and residential district in Tokyo known for its large shopping complexes, stylish cafes, and family-friendly urban development along the Tama River.
-
C.
物見櫓
物見櫓は、城や砦などに設けられた周囲の監視や敵の接近を見張るための高所の見張り台である。
-
D.
両津湾
両津湾 is a coastal bay located on Sado Island in Niigata Prefecture, Japan, known for its natural harbor and surrounding scenic landscapes.
-
E.
隼町
隼町は、東京都千代田区に位置し、国立劇場や最高裁判所などの中枢機関が集まる官庁街として知られる地域です。
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed88cf08190ae7e5b6bf9a80372 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.