Triple

T37864778
Position Surface form Disambiguated ID Type / Status
Subject 嵐電（京福電気鉄道嵐山本線） E944439 entity
Predicate 代表的駅 P189299 FINISHED
Object 嵐電天神川駅
嵐電天神川駅は、京都市右京区に位置し、地下鉄東西線との乗り換え拠点として利用される京福電気鉄道嵐山本線の主要駅です。
 E2245984 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: 嵐電天神川駅 | Statement: [嵐電（京福電気鉄道嵐山本線）, 代表的駅, 嵐電天神川駅]
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: 嵐電天神川駅
Triple: [嵐電（京福電気鉄道嵐山本線）, 代表的駅, 嵐電天神川駅]
Generated description
嵐電天神川駅は、京都市右京区に位置し、地下鉄東西線との乗り換え拠点として利用される京福電気鉄道嵐山本線の主要駅です。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: 代表的駅
Context triple: [嵐電（京福電気鉄道嵐山本線）, 代表的駅, 嵐電天神川駅]
  • A. 代表的途中駅
    Indicates that something serves as or is designated as an intermediate station representing a route or line.
  • B. TokyoMetroStationNumber
    Indicates that an entity is assigned a specific official station number within the Tokyo Metro railway network.
  • C. TokyuStationNumber
    Indicates that an entity is assigned a specific station number within the Tokyu railway network.
  • D. KairakuenStationOperation
    Indicates the operational status or management of Kairakuen Station, such as whether and how the station is currently being run or served.
  • E. adjacentStationOnSennichimaeLine
    Indicates that one station is directly next to another station along the Sennichimae railway line.
  • F. None of above. chosen

Provenance (7 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_69f76eee2f9c8190b1272aa2ee55ebf5 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbbae559a8819086ef839973f8d9b2 completed May 6, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a410422d2808190b97cc5270f4aa09d completed June 28, 2026, 11:23 a.m.
NEDg Description generation batch_6a4104af9ac88190a7ffe368c46f0f8d completed June 28, 2026, 11:25 a.m.
NED2 Entity disambiguation (via description) batch_6a41052129a08190a8e4d598dcd259b2 completed June 28, 2026, 11:27 a.m.
PD Predicate disambiguation batch_69fbb1440fa08190abf25ba684f75b6e completed May 6, 2026, 9:23 p.m.
PDg Predicate description generation batch_69fbbae3fc508190adff3d7abbf107a4 completed May 6, 2026, 10:04 p.m.
Created at: May 3, 2026, 4:19 p.m.