Triple

T25096115
Position Surface form Disambiguated ID Type / Status
Subject 熊本市 E628592 entity
Predicate 路面電車事業者 P121930 FINISHED
Object 熊本市交通局
熊本市交通局は、熊本市内で市営路面電車（熊本市電）を運行する地方公営企業の交通事業者です。
 E1663218 NE FINISHED

How this triple was built (3 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: 熊本市交通局 | Statement: [熊本市, 路面電車事業者, 熊本市交通局]
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: 熊本市交通局
Triple: [熊本市, 路面電車事業者, 熊本市交通局]
Generated description
熊本市交通局は、熊本市内で市営路面電車（熊本市電）を運行する地方公営企業の交通事業者です。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: 路面電車事業者
Context triple: [熊本市, 路面電車事業者, 熊本市交通局]
  • A. isElectricRailway
    Indicates that a given railway system operates using electric power rather than diesel or other forms of propulsion.
  • B. hasTrolleybusSystem
    Indicates that an entity operates or is served by a trolleybus transportation system.
  • C. lightRailNetwork
    Indicates a relationship where an area, city, or region is served by or contains a light rail transit network.
  • D. hasRailTransportOperator chosen
    Indicates that a rail transport system, service, or infrastructure is operated or managed by a specified rail transport operator.
  • E. hasTrolleybusLine
    Indicates that there exists a trolleybus service or route connecting the related entities.
  • F. None of above.

Provenance (6 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_69e2ff2f58e881908340527bc5d34f07 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f464b9651481908d4d7584717f5c59 completed May 1, 2026, 8:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1048ec22bc81909dc65427b0d0db4f completed May 22, 2026, 12:15 p.m.
NEDg Description generation batch_6a104a6df4208190b8fa9647b516b7fc completed May 22, 2026, 12:22 p.m.
NED2 Entity disambiguation (via description) batch_6a104c2d8308819097b21b979944585e completed May 22, 2026, 12:29 p.m.
PD Predicate disambiguation batch_69f442c861188190967655c6d8012380 completed May 1, 2026, 6:06 a.m.
Created at: April 18, 2026, 6:25 a.m.