Triple
T16206946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naha Bus Terminal |
E393351
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object |
Toyo Bus
Toyo Bus is a regional bus company in Okinawa, Japan, providing public transportation services including routes operating from the Naha Bus Terminal.
|
E1201318
|
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: Toyo Bus | Statement: [Naha Bus Terminal, operator, Toyo Bus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toyo Bus Context triple: [Naha Bus Terminal, operator, Toyo Bus]
-
A.
Toei Bus
Toei Bus is a major public bus network serving Tokyo, Japan, as part of the city’s municipal transportation system.
-
B.
Keihan Bus
Keihan Bus is a Japanese bus company operating local and intercity routes, primarily serving the Kyoto–Osaka–Shiga region.
-
C.
Hino
Hino is a town in Shiga Prefecture, Japan, known for its historical streetscapes and traditional industries.
-
D.
Hino
Hino is a city in western Tokyo, Japan, known as a residential and industrial suburb within the Tama area.
-
E.
Nagoya Guideway Bus
Nagoya Guideway Bus is a Japanese transit operator best known for running the Yutorito Line, an elevated guided bus system in Nagoya.
- 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: Toyo Bus Triple: [Naha Bus Terminal, operator, Toyo Bus]
Generated description
Toyo Bus is a regional bus company in Okinawa, Japan, providing public transportation services including routes operating from the Naha Bus Terminal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toyo Bus Target entity description: Toyo Bus is a regional bus company in Okinawa, Japan, providing public transportation services including routes operating from the Naha Bus Terminal.
-
A.
Toei Bus
Toei Bus is a major public bus network serving Tokyo, Japan, as part of the city’s municipal transportation system.
-
B.
Keihan Bus
Keihan Bus is a Japanese bus company operating local and intercity routes, primarily serving the Kyoto–Osaka–Shiga region.
-
C.
Hino
Hino is a town in Shiga Prefecture, Japan, known for its historical streetscapes and traditional industries.
-
D.
Hino
Hino is a city in western Tokyo, Japan, known as a residential and industrial suburb within the Tama area.
-
E.
Nagoya Guideway Bus
Nagoya Guideway Bus is a Japanese transit operator best known for running the Yutorito Line, an elevated guided bus system in Nagoya.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227101a3c819095ef40e50bf66433 |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00078fa2ac8190a0a2cf38bc41498d |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a000900bfbc8190b21eb513838759a9 |
completed | May 10, 2026, 4:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a000a0fc93c819088d9233aaa5e2017 |
completed | May 10, 2026, 4:31 a.m. |
Created at: April 10, 2026, 5:03 a.m.