Triple
T3530407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinagawa |
E74645
|
entity |
| Predicate | hasRailwayHub |
P1071
|
FINISHED |
| Object | Ōsaki Station |
E147524
|
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: Ōsaki Station | Statement: [Shinagawa, hasRailwayHub, Ōsaki Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ōsaki Station Context triple: [Shinagawa, hasRailwayHub, Ōsaki Station]
-
A.
Osaki Station
chosen
Osaki Station is a major railway hub in Tokyo, Japan, serving multiple JR East lines and connecting central Tokyo with surrounding suburban areas.
-
B.
Hakata Station
Hakata Station is the main railway hub of Fukuoka and a major Shinkansen and regional train terminal in Kyushu, Japan.
-
C.
Wakayama Station
Wakayama Station is a major railway hub in Wakayama City, Japan, serving multiple JR West lines and connecting the region to the wider Kansai area.
-
D.
Daigo Station
Daigo Station is a subway station in Kyoto, Japan, serving the Kyoto Municipal Subway network and providing access to the Daigo area and nearby cultural sites.
-
E.
Shijō Station
Shijō Station is a major underground metro station on the Kyoto Municipal Subway network, serving as a key transit point in central Kyoto near the city’s main commercial 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_69ad85d1a3948190931fd1ea1f49717b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc9764a881908aa8d25dc9adf59e |
completed | March 8, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeaaf9ea0819091bd0981068e5a72 |
completed | April 3, 2026, 4:28 p.m. |
Created at: March 8, 2026, 3:19 p.m.