Triple
T20389944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mystery Train |
E498057
|
entity |
| Predicate | hasSegment |
P3574
|
FINISHED |
| Object | "Far from Yokohama" |
—
|
NE NERFINISHED |
How this triple was built (3 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: "Far from Yokohama" | Statement: [Mystery Train, hasSegment, "Far from Yokohama"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Far from Yokohama" Context triple: [Mystery Train, hasSegment, "Far from Yokohama"]
-
A.
Seven Stars in Kyushu
Seven Stars in Kyushu is a luxury sightseeing sleeper train in Japan known for its elegant design, fine dining, and multi-day tours around the island of Kyushu.
-
B.
Night Rain at Karasaki
Night Rain at Karasaki is a famous Japanese landscape scene, traditionally depicted in woodblock prints, portraying a rainy night at Karasaki as one of the classic “Eight Views of Ōmi.”
-
C.
Ominato
Ominato is a Japanese naval base town in Aomori Prefecture known for hosting a major Maritime Self-Defense Force garrison.
-
D.
The Tokyo Blues
The Tokyo Blues is a 1962 jazz album by pianist and composer Horace Silver that blends hard bop with Japanese musical influences.
-
E.
Kudanshita
Kudanshita is a district and major subway station area in central Tokyo known for its proximity to the Imperial Palace, Yasukuni Shrine, and several universities and office buildings.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: "Far from Yokohama" Target entity description: "Far from Yokohama" is a segment of Jim Jarmusch’s anthology film *Mystery Train*, following Japanese rock-and-roll tourists drifting through the surreal, nocturnal landscape of Memphis.
-
A.
Seven Stars in Kyushu
Seven Stars in Kyushu is a luxury sightseeing sleeper train in Japan known for its elegant design, fine dining, and multi-day tours around the island of Kyushu.
-
B.
Night Rain at Karasaki
Night Rain at Karasaki is a famous Japanese landscape scene, traditionally depicted in woodblock prints, portraying a rainy night at Karasaki as one of the classic “Eight Views of Ōmi.”
-
C.
Ominato
Ominato is a Japanese naval base town in Aomori Prefecture known for hosting a major Maritime Self-Defense Force garrison.
-
D.
The Tokyo Blues
The Tokyo Blues is a 1962 jazz album by pianist and composer Horace Silver that blends hard bop with Japanese musical influences.
-
E.
Kudanshita
Kudanshita is a district and major subway station area in central Tokyo known for its proximity to the Imperial Palace, Yasukuni Shrine, and several universities and office buildings.
- F. None of above. chosen
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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790e65a081909832855758fffd14 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.