Triple

T3843407
Position Surface form Disambiguated ID Type / Status
Subject Naval Battle of Hakodate E93507 entity
Predicate location P40 FINISHED
Object Hakodate E203163 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: Hakodate | Statement: [Naval Battle of Hakodate, location, Hakodate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hakodate
Context triple: [Naval Battle of Hakodate, location, Hakodate]
  • A. Hakodate chosen
    Hakodate is a historic port city on Japan’s northern island of Hokkaido, known for its scenic night views from Mount Hakodate and its blend of Japanese and Western-influenced architecture.
  • B. Kushiro
    Kushiro is a coastal city in eastern Hokkaido, Japan, known for its large fishing port, cool maritime climate, and nearby wetlands rich in wildlife such as red-crowned cranes.
  • C. Sapporo
    Sapporo is the capital and largest city of Japan’s northern Hokkaido prefecture, known for its annual snow festival, beer, and ski resorts.
  • D. Niigata
    Niigata is a major coastal city in north-central Japan known for its important seaport on the Sea of Japan, rice production, and sake brewing.
  • E. Asahikawa
    Asahikawa is a major city in central Hokkaido, Japan, known for its cold winters, Asahiyama Zoo, and role as a regional commercial and transportation hub.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb4fd308190a636ba9dbbe57ed6 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf185542508190ad71b753bda5d1a3 completed March 21, 2026, 10:14 p.m.
Created at: March 9, 2026, 3:18 p.m.