Triple
T14284850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 港区 |
E354141
|
entity |
| Predicate | hasTransportationHub |
P2413
|
FINISHED |
| Object | 六本木駅 |
E669549
|
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: 六本木駅 | Statement: [港区, hasTransportationHub, 六本木駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 六本木駅 Context triple: [港区, hasTransportationHub, 六本木駅]
-
A.
Roppongi Station
chosen
Roppongi Station is a major Tokyo subway station in the Roppongi district, serving as a key access point to the area’s nightlife, business centers, and cultural attractions.
-
B.
Akasaka Station
Akasaka Station is a Tokyo Metro subway station in Tokyo’s Minato ward, serving as a key stop on the Chiyoda Line in a major business and entertainment district.
-
C.
Yurakucho Station
Yurakucho Station is a major railway hub in central Tokyo’s Chiyoda ward, serving multiple JR and subway lines and providing convenient access to the Ginza and Marunouchi districts.
-
D.
Shinagawa Station
Shinagawa Station is a major railway and transportation hub in Tokyo, Japan, serving multiple JR and private lines as well as Shinkansen high-speed trains.
-
E.
Shinagawa Terminal
Shinagawa Terminal is a key cargo and logistics hub within Tokyo’s port infrastructure, supporting the handling and distribution of maritime freight in the Tokyo area.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697ef40c8190bea37724b28c2e99 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd467f3b3081908261261301674c4e |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:10 a.m.