Triple
T14572935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sōbu Line |
E341964
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Chiba Station |
E788406
|
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: Chiba Station | Statement: [Sōbu Line, terminus, Chiba Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiba Station Context triple: [Sōbu Line, terminus, Chiba Station]
-
A.
Chiba Station
chosen
Chiba Station is a major railway hub in Chiba, Japan, serving multiple JR East lines and connecting the city with the greater Tokyo metropolitan area.
-
B.
Yokohama Station
Yokohama Station is one of Japan’s busiest railway hubs, serving numerous JR, private, and subway lines in central Yokohama.
-
C.
Nikkō Station
Nikkō Station is a railway station in Nikkō, Tochigi Prefecture, Japan, serving as a key access point for visitors to the city's historic temples, shrines, and natural attractions.
-
D.
Suita Station
Suita Station is a railway station in Suita, Osaka Prefecture, Japan, serving passengers on the JR Kyoto Line (Tōkaidō Main Line).
-
E.
Tsukuba Station
Tsukuba Station is the main terminal of the Tsukuba Express line in Tsukuba, Ibaraki Prefecture, serving as a key transit hub for access to the city’s science and research 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f33b1c8190bb447788bfd28d51 |
completed | April 14, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b123d57b08190b6cbdd33574bccee |
completed | May 18, 2026, 1:21 p.m. |
Created at: April 10, 2026, 1:24 a.m.