Triple

T37864724
Position Surface form Disambiguated ID Type / Status
Subject 嵯峨野線 E944438 entity
Predicate 接続路線 P35490 FINISHED
Object 京都市営地下鉄烏丸線
京都市営地下鉄烏丸線は、京都市内を南北に縦断し、主要な観光地やビジネス街を結ぶ京都市営地下鉄の路線です。
 E2245972 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: 京都市営地下鉄烏丸線 | Statement: [嵯峨野線, 接続路線, 京都市営地下鉄烏丸線]
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: 京都市営地下鉄烏丸線
Triple: [嵯峨野線, 接続路線, 京都市営地下鉄烏丸線]
Generated description
京都市営地下鉄烏丸線は、京都市内を南北に縦断し、主要な観光地やビジネス街を結ぶ京都市営地下鉄の路線です。

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_69f76eee2f9c8190b1272aa2ee55ebf5 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbb27cba28819093a8ed7a721ecae2 completed May 6, 2026, 9:28 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.
Created at: May 3, 2026, 4:19 p.m.