Triple
T12614203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyoto Municipal Transportation Bureau |
E301209
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object | Kyoto City Bus |
E286075
|
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 City Bus | Statement: [Kyoto Municipal Transportation Bureau, operates, Kyoto City Bus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyoto City Bus Context triple: [Kyoto Municipal Transportation Bureau, operates, Kyoto City Bus]
-
A.
Kyoto City Bus
chosen
Kyoto City Bus is the municipal bus system of Kyoto, Japan, providing extensive local public transportation throughout the city and its major attractions.
-
B.
Keihan Bus
Keihan Bus is a Japanese bus company operating local and intercity routes, primarily serving the Kyoto–Osaka–Shiga region.
-
C.
Odakyu Bus
Odakyu Bus is a Japanese bus company operating local and highway bus services, primarily in the Tokyo and Kanagawa areas, as part of the Odakyu Group’s transportation network.
-
D.
Tokyu Bus
Tokyu Bus is a Japanese bus operator providing local and intercity bus services primarily in the Tokyo and Kanagawa areas.
-
E.
Toei Bus
Toei Bus is a major public bus network serving Tokyo, Japan, as part of the city’s municipal transportation system.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c4f5b48190af76414ef678ba7c |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed2e12c819097cfd2a40116f491 |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:12 p.m.