Triple

T28184216
Position Surface form Disambiguated ID Type / Status
Subject Kobe – Naha E716124 entity
Predicate routeNameInJapanese P28734 FINISHED
Object 神戸－那覇線
神戸－那覇線は、本州の神戸市と沖縄県那覇市を結ぶ航空路線として運航されている主要な国内線の一つである。
 E1805700 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: 神戸－那覇線 | Statement: [Kobe – Naha, routeNameInJapanese, 神戸－那覇線]
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: 神戸－那覇線
Triple: [Kobe – Naha, routeNameInJapanese, 神戸－那覇線]
Generated description
神戸－那覇線は、本州の神戸市と沖縄県那覇市を結ぶ航空路線として運航されている主要な国内線の一つである。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: routeNameInJapanese
Context triple: [Kobe – Naha, routeNameInJapanese, 神戸－那覇線]
  • A. hasNameInJapanese chosen
    Indicates that an entity is associated with a specific name expressed in the Japanese language.
  • B. nameInJapaneseKana
    Indicates that an entity’s name is written or represented using Japanese kana characters.
  • C. eraNameInJapanese
    Indicates the Japanese-language name used for a specific historical or calendar era.
  • D. officialNameInRomaji
    Indicates that an entity’s official name is written using the Roman alphabet (romaji) representation.
  • E. hasOfficialNameInJapanese
    Indicates that an entity has an official, formally recognized name expressed in the Japanese language.
  • 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_69efd6b4fc5c81909dd88f01a8c2b35d completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f65a6c900881908f18b61273d7bf8d completed May 2, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15d7c90468819095f6f789ea6b3bc0 completed May 26, 2026, 5:26 p.m.
NEDg Description generation batch_6a15dbaf1224819090a0ec3d323a8601 completed May 26, 2026, 5:43 p.m.
NED2 Entity disambiguation (via description) batch_6a15dc178a708190927987ae171664eb completed May 26, 2026, 5:44 p.m.
PD Predicate disambiguation batch_69f659ce58408190ba9e007b4810d4d0 completed May 2, 2026, 8:08 p.m.
Created at: April 27, 2026, 10:21 p.m.