Triple

T21968591
Position Surface form Disambiguated ID Type / Status
Subject 高崎駅 E542522 entity
Predicate 路線 P848 FINISHED
Object 両毛線 — NE NERFINISHED

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: 両毛線 | Statement: [高崎駅, 路線, 両毛線]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 両毛線
Context triple: [高崎駅, 路線, 両毛線]
  • A. 両毛線 chosen
    両毛線は群馬県と栃木県を結び、前橋・桐生・足利など北関東の主要都市を東西に走るJR東日本の地方鉄道路線である。
  • B. Oshima Tsumugi silk
    Oshima Tsumugi silk is a highly prized, finely woven Japanese silk textile renowned for its intricate kasuri (ikat) patterns and traditional production on Amami Ōshima Island.
  • C. Aizu cotton
    Aizu cotton is a traditional Japanese woven textile from the Aizu region, known for its durable striped fabric historically used in everyday clothing and household items.
  • D. Hukun line
    The Hukun line is a major Chinese railway route that connects the cities of Shanghai (Hu) and Kunming (Kun), serving as an important east–west transportation corridor.
  • E. Kashiwa-no-ha
    Kashiwa-no-ha is a modern, planned district in Kashiwa, Chiba Prefecture, Japan, known for its smart-city initiatives, research institutions, and residential developments centered around Kashiwa-no-ha Campus Station.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1245d50d08190a4bf93139daa77eb completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8:02 p.m.