Triple
T17281420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Higashiyama Line |
E419536
|
entity |
| Predicate | hasConnection |
P8776
|
FINISHED |
| Object | Meiko Line |
E1242085
|
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: Meiko Line | Statement: [Higashiyama Line, hasConnection, Meiko Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meiko Line Context triple: [Higashiyama Line, hasConnection, Meiko Line]
-
A.
Meiko Line
chosen
The Meiko Line is a rapid transit line of the Nagoya Municipal Subway system in Nagoya, Japan, serving the city’s port and waterfront areas.
-
B.
Kada Line
The Kada Line is a regional railway line in Wakayama Prefecture, Japan, providing local passenger service between Wakayamashi and Kada along the coast.
-
C.
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.
-
D.
Tokyo Girl
Tokyo Girl is a synth-pop single by the Japanese techno-pop trio Perfume, known for its futuristic sound and stylish, city-themed visuals.
-
E.
Nogizaka Station
Nogizaka Station is a Tokyo Metro subway station in Minato, Tokyo, serving the Chiyoda Line and providing convenient access to nearby cultural sites and museums.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332a4c008190b44f4145d0e94a21 |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0179535ae08190ac0137d0f8741919 |
completed | May 11, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:40 a.m.