Triple

T5809912
Position Surface form Disambiguated ID Type / Status
Subject Hankyu Rokko Station E128842 entity
Predicate serves P98 FINISHED
Object Nada-ku E541472 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: Nada-ku | Statement: [Hankyu Rokko Station, serves, Nada-ku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nada-ku
Context triple: [Hankyu Rokko Station, serves, Nada-ku]
  • A. Nada-ku chosen
    Nada-ku is a ward of Kobe in Japan’s Hyōgo Prefecture, known for its sake breweries, residential neighborhoods, and proximity to Mount Rokko.
  • B. Naka-ku
    Naka-ku is a central ward of Yokohama, Japan, known for its historic port area, Chinatown, and major commercial and entertainment districts.
  • C. Nakawa
    Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
  • D. Minamitane
    Minamitane is a town on Tanegashima Island in Kagoshima Prefecture, Japan, known for hosting Japan’s main spaceport facilities nearby.
  • E. Nakanai
    Nakanai is an Austronesian language spoken on the island of New Britain in Papua New Guinea, known for its role in the linguistic diversity of the Bismarck Archipelago.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b52663c8190ab44258468d4296d completed March 22, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c098416504819089356b68fabdf737 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:52 p.m.