Triple
T7497248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyu railway network |
E177162
|
entity |
| Predicate | majorHub |
P2958
|
FINISHED |
| Object | Yokohama Station |
E403108
|
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: Yokohama Station | Statement: [Tokyu railway network, majorHub, Yokohama Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yokohama Station Context triple: [Tokyu railway network, majorHub, Yokohama Station]
-
A.
Yokohama Station
chosen
Yokohama Station is one of Japan’s busiest railway hubs, serving numerous JR, private, and subway lines in central Yokohama.
-
B.
Nagoya Station
Nagoya Station is one of Japan’s largest and busiest railway hubs, serving as a major Shinkansen and regional transit center in the city of Nagoya.
-
C.
Shin-Yokohama Station
Shin-Yokohama Station is a major railway hub in Yokohama, Japan, serving Shinkansen, JR, and municipal subway lines and providing access to key destinations such as the nearby International Stadium Yokohama.
-
D.
Tokyo Station
Tokyo Station is a major railway hub in central Tokyo, serving as a key terminal for Shinkansen bullet trains and numerous local and regional lines.
-
E.
Kamakura Station
Kamakura Station is a major railway station in Kamakura, Kanagawa Prefecture, Japan, serving as a key access point for tourists visiting the city's historic temples, shrines, and coastal 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5963d98819098275b161848d2d4 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf275f49f48190ad92d5aaebaac4d0 |
completed | April 3, 2026, 2:35 a.m. |
Created at: March 27, 2026, 3:44 p.m.