Triple

T10181680
Position Surface form Disambiguated ID Type / Status
Subject Osaka Monorail Co., Ltd. E236799 entity
Predicate operatesInCity P3207 FINISHED
Object Ibaraki E25335 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: Ibaraki | Statement: [Osaka Monorail Co., Ltd., operatesInCity, Ibaraki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ibaraki
Context triple: [Osaka Monorail Co., Ltd., operatesInCity, Ibaraki]
  • A. Ibaraki chosen
    Ibaraki is a city in northern Osaka Prefecture, Japan, known as a residential and industrial hub within the Kansai metropolitan area.
  • B. Ibaraki Prefecture
    Ibaraki Prefecture is a region in eastern Japan known for its agriculture, coastal landscapes, and scientific research centers such as the city of Tsukuba.
  • C. Saitama Prefecture
    Saitama Prefecture is a landlocked administrative region in the Kantō area of Japan, just north of Tokyo, known for its large commuter population, industrial centers, and cultural sites.
  • D. Tochigi Prefecture
    Tochigi Prefecture is a landlocked region in Japan’s Kantō area known for the historic city of Nikkō, natural hot springs, and mountainous scenery.
  • E. Yamagata Prefecture
    Yamagata Prefecture is a largely rural prefecture in Japan’s Tōhoku region, known for its mountains, hot springs, and cherry production.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded32b91c8190b01ad37b2456080a completed April 2, 2026, 4:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f03e00c819091ae5273aa10fe4b completed May 3, 2026, 10:10 a.m.
Created at: March 30, 2026, 9:12 p.m.