Triple

T14580782
Position Surface form Disambiguated ID Type / Status
Subject Series E6 Shinkansen E342185 entity
Predicate serviceName P31939 FINISHED
Object Komachi E626154 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: Komachi | Statement: [Series E6 Shinkansen, serviceName, Komachi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Komachi
Context triple: [Series E6 Shinkansen, serviceName, Komachi]
  • A. Mirina
    Mirina is a coastal town on the Greek island of Lemnos, serving as its capital and main port in the northern Aegean Sea.
  • B. Makiko
    Makiko is a Japanese feminine given name commonly borne by women in Japan and of Japanese heritage.
  • C. Yamabiko chosen
    Yamabiko is a high-speed Shinkansen train service in Japan that operates on the Tōhoku Shinkansen line, connecting Tokyo with northern regions such as Sendai.
  • D. Kawaiisu
    Kawaiisu is a Native American people and their Uto-Aztecan language traditionally spoken in the southern Sierra Nevada and Tehachapi Mountains of California.
  • E. Orito
    Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb41e71748190a1deacc819dd26d3 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde16830c0819090a97b073c8e642d completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:24 a.m.