Triple
T15248090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 品川区 |
E364438
|
entity |
| Predicate | hasMajorStation |
P1071
|
FINISHED |
| Object | 目黒駅 |
E251899
|
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: 目黒駅 | Statement: [品川区, hasMajorStation, 目黒駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 目黒駅 Context triple: [品川区, hasMajorStation, 目黒駅]
-
A.
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.
-
B.
Nakameguro Station
Nakameguro Station is a major railway station in Tokyo’s Meguro ward that serves as an important transit hub and gateway to the trendy Nakameguro neighborhood.
-
C.
Meguro Station
chosen
Meguro Station is a major railway and subway hub in Tokyo’s Meguro ward, serving multiple JR and Tokyo Metro lines and providing convenient access to central and southwestern Tokyo.
-
D.
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.
-
E.
Roppongi Station
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.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f4f9d48190b96a7e0c6993cd69 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff8757325c8190ad97f50368862ca5 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 3:13 a.m.