Triple
T17859687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagaoka Station |
E446034
|
entity |
| Predicate | hasNativeName |
P1435
|
FINISHED |
| Object | 長岡駅 |
—
|
NE NERFINISHED |
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: 長岡駅 | Statement: [Nagaoka Station, hasNativeName, 長岡駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 長岡駅 Context triple: [Nagaoka Station, hasNativeName, 長岡駅]
-
A.
Yonezawa Station
Yonezawa Station is a railway station in Yonezawa, Yamagata Prefecture, Japan, serving as a local transport hub connecting the city to regional and national rail networks.
-
B.
Nagaoka Station
chosen
Nagaoka Station is a major railway hub in Niigata Prefecture, Japan, serving both local and Shinkansen high-speed train lines.
-
C.
Sakuragawa Station
Sakuragawa Station is a railway station in Osaka, Japan, serving as a stop on multiple urban transit lines including the Osaka Metro network.
-
D.
Kasuga Station
Kasuga Station is a subway station in Bunkyo, Tokyo, that serves as one of the nearest rail access points to the Tokyo Dome and surrounding attractions.
-
E.
Gokurakubashi Station
Gokurakubashi Station is a railway station in Kōya, Wakayama Prefecture, Japan, serving as the gateway terminal for visitors traveling by rail to the sacred Mount Kōya temple complex.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4978f34948190a25deb4fd617ad72 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.