Triple
T2655853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyoto Station |
E54607
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Kyoto Municipal Subway |
E54972
|
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: Kyoto Municipal Subway | Statement: [Kyoto Station, operator, Kyoto Municipal Subway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyoto Municipal Subway Context triple: [Kyoto Station, operator, Kyoto Municipal Subway]
-
A.
Kyoto Municipal Subway
chosen
The Kyoto Municipal Subway is an urban rapid transit system serving Kyoto, Japan, providing key north–south and east–west rail connections across the city.
-
B.
Osaka Metro
Osaka Metro is the rapid transit network serving Japan’s city of Osaka and its surrounding urban area.
-
C.
Kobe Municipal Subway
The Kobe Municipal Subway is an urban rapid transit system serving the city of Kobe, Japan, connecting key commercial, residential, and waterfront areas.
-
D.
Tokyo Metro Namboku Line
The Tokyo Metro Namboku Line is a north–south subway line in Tokyo operated by Tokyo Metro, known for its deep underground stations and through-services to other railway lines.
-
E.
Tokyo Metro
Tokyo Metro is one of the two main rapid transit operators in Tokyo, running an extensive network of subway lines that serve the city’s central and metropolitan areas.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd933ec008190aef1442460c4cfbc |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4881323dc81908e3e42ce1d0f8a0d |
completed | March 13, 2026, 9:56 p.m. |
Created at: March 6, 2026, 9:53 p.m.