Triple

T13827159
Position Surface form Disambiguated ID Type / Status
Subject Sumida City E332279 entity
Predicate containsDistrict P22582 FINISHED
Object Mukojima E295842 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: Mukojima | Statement: [Sumida City, containsDistrict, Mukojima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mukojima
Context triple: [Sumida City, containsDistrict, Mukojima]
  • A. Mukōjima chosen
    Mukōjima is a neighborhood in Tokyo’s Sumida ward known for its traditional atmosphere, historic geisha district, and riverside cherry blossom viewing along the Sumida River.
  • B. Yashima
    Yashima is a historic plateau and former island in Takamatsu, Kagawa Prefecture, known for its panoramic views of the Seto Inland Sea and as a key battlefield of the Genpei War.
  • C. Yoroshima
    Yoroshima is a small island that is part of Japan’s subtropical Amami archipelago in Kagoshima Prefecture.
  • D. Ikuchijima
    Ikuchijima is a small island in Japan’s Seto Inland Sea, known for its citrus cultivation, scenic coastal views, and role as a stop along the Shimanami Kaido cycling route.
  • E. Tsukishima
    Tsukishima is a man-made island and residential district in Tokyo’s Chūō ward, known for its high-rise apartments and famous monjayaki restaurants.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0295d2d48190b08eba0d805bd72d completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00c28d1e1c81909e869f01659ec233 completed May 10, 2026, 5:38 p.m.
Created at: April 9, 2026, 10:13 p.m.