Triple

T11231025
Position Surface form Disambiguated ID Type / Status
Subject Tsukuba Science City E265818 entity
Predicate hasTransportation P105 FINISHED
Object Tsukuba Station E729085 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: Tsukuba Station | Statement: [Tsukuba Science City, hasTransportation, Tsukuba Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsukuba Station
Context triple: [Tsukuba Science City, hasTransportation, Tsukuba Station]
  • A. Tsukuba Station chosen
    Tsukuba Station is the main terminal of the Tsukuba Express line in Tsukuba, Ibaraki Prefecture, serving as a key transit hub for access to the city’s science and research district.
  • B. Chiba Station
    Chiba Station is a major railway hub in Chiba, Japan, serving multiple JR East lines and connecting the city with the greater Tokyo metropolitan area.
  • C. Ibaraki Station
    Ibaraki Station is a railway station in Ibaraki, Osaka Prefecture, Japan, serving as a local transit hub on major regional rail lines.
  • D. Takasaki Station
    Takasaki Station is a major railway hub in Takasaki, Gunma Prefecture, Japan, serving multiple JR East lines and Shinkansen services as a key regional transport center.
  • E. Suita Station
    Suita Station is a railway station in Suita, Osaka Prefecture, Japan, serving passengers on the JR Kyoto Line (Tōkaidō Main Line).
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9026e1c81909456ac946bbba972 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014132570081909fab220c002c2f10 completed May 11, 2026, 2:38 a.m.
Created at: April 8, 2026, 9:30 p.m.