Triple
T11233420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takanawa |
E265882
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Shinagawa Station |
E235547
|
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: Shinagawa Station | Statement: [Takanawa, near, Shinagawa Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shinagawa Station Context triple: [Takanawa, near, Shinagawa Station]
-
A.
Shinagawa Station
chosen
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.
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.
-
C.
Meguro Station
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.
Higashi-Shinjuku Station
Higashi-Shinjuku Station is an underground railway station in Tokyo’s Shinjuku ward that serves as a transit hub on multiple subway lines.
-
E.
Nihonbashi Station
Nihonbashi Station is a major underground railway and subway interchange in central Tokyo, serving multiple Tokyo Metro and Toei lines near the historic Nihonbashi district.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e903b8ec81909f9c89776d35c650 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fb168548190afb975ef60fa5f3e |
completed | May 11, 2026, 4:48 a.m. |
Created at: April 8, 2026, 9:30 p.m.