Triple
T5548548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tobu 50050 series |
E145468
|
entity |
| Predicate | safetySystem |
P840
|
FINISHED |
| Object |
Tokyo Metro CS-ATC
Tokyo Metro CS-ATC is a cab signaling-based automatic train control system used on Tokyo Metro and interconnected lines to ensure safe train operation through continuous speed supervision and automatic braking.
|
E532685
|
NE FINISHED |
How this triple was built (4 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: Tokyo Metro CS-ATC | Statement: [Tobu 50050 series, safetySystem, Tokyo Metro CS-ATC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tokyo Metro CS-ATC Context triple: [Tobu 50050 series, safetySystem, Tokyo Metro CS-ATC]
-
A.
Tokyo Metro 7000 series
The Tokyo Metro 7000 series is a Japanese electric multiple unit train type operated by Tokyo Metro, primarily used on busy commuter subway lines in Tokyo.
-
B.
Tokyo Metro 8000 series
The Tokyo Metro 8000 series is a fleet of electric multiple unit trains introduced in the early 1980s for Tokyo’s subway network, known for their long service life and multiple refurbishment programs.
-
C.
Tokyo Metro 1000 series
The Tokyo Metro 1000 series is a modern electric multiple unit train used on Tokyo’s subway system, designed with retro-inspired styling that pays homage to the original Ginza Line cars while incorporating contemporary technology and comfort features.
-
D.
Tokyo Metro 10000 series
The Tokyo Metro 10000 series is a fleet of modern electric multiple unit trains operated by Tokyo Metro, known for serving through-services on several interconnected subway and private railway lines in the Tokyo area.
-
E.
Tokyo Metro 18000 series
The Tokyo Metro 18000 series is a modern electric multiple unit train operated by Tokyo Metro, designed for through-services on lines such as the Hanzomon Line and connecting suburban routes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tokyo Metro CS-ATC Triple: [Tobu 50050 series, safetySystem, Tokyo Metro CS-ATC]
Generated description
Tokyo Metro CS-ATC is a cab signaling-based automatic train control system used on Tokyo Metro and interconnected lines to ensure safe train operation through continuous speed supervision and automatic braking.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tokyo Metro CS-ATC Target entity description: Tokyo Metro CS-ATC is a cab signaling-based automatic train control system used on Tokyo Metro and interconnected lines to ensure safe train operation through continuous speed supervision and automatic braking.
-
A.
Tokyo Metro 7000 series
The Tokyo Metro 7000 series is a Japanese electric multiple unit train type operated by Tokyo Metro, primarily used on busy commuter subway lines in Tokyo.
-
B.
Tokyo Metro 8000 series
The Tokyo Metro 8000 series is a fleet of electric multiple unit trains introduced in the early 1980s for Tokyo’s subway network, known for their long service life and multiple refurbishment programs.
-
C.
Tokyo Metro 1000 series
The Tokyo Metro 1000 series is a modern electric multiple unit train used on Tokyo’s subway system, designed with retro-inspired styling that pays homage to the original Ginza Line cars while incorporating contemporary technology and comfort features.
-
D.
Tokyo Metro 10000 series
The Tokyo Metro 10000 series is a fleet of modern electric multiple unit trains operated by Tokyo Metro, known for serving through-services on several interconnected subway and private railway lines in the Tokyo area.
-
E.
Tokyo Metro 18000 series
The Tokyo Metro 18000 series is a modern electric multiple unit train operated by Tokyo Metro, designed for through-services on lines such as the Hanzomon Line and connecting suburban routes.
- F. None of above. chosen
Provenance (5 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fe143ec8190bb67d2530c92a419 |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0282dd7408190ad762fca9ff5e04b |
completed | March 22, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c0400d14cc8190a9962cb43fe17d83 |
completed | March 22, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0407964d08190b5552b410c9ba915 |
completed | March 22, 2026, 7:18 p.m. |
Created at: March 22, 2026, 3:35 p.m.