Triple

T9943613
Position Surface form Disambiguated ID Type / Status
Subject Komaba E194143 entity
Predicate hasNearbyDistrict P4647 FINISHED
Object Komaba-minami E194143 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: Komaba-minami | Statement: [Komaba, hasNearbyDistrict, Komaba-minami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Komaba-minami
Context triple: [Komaba, hasNearbyDistrict, Komaba-minami]
  • A. Komaba chosen
    Komaba is a district in Meguro, Tokyo, best known as the location of the University of Tokyo’s Komaba Campus and its surrounding academic and residential facilities.
  • B. Musashi-Koyama
    Musashi-Koyama is a lively neighborhood in Tokyo known for its long covered shopping street, local eateries, and convenient urban living.
  • C. Kanramachi
    Kanramachi is a Japanese town known for its cultural and municipal partnership with the Italian town of Certaldo.
  • D. Hamamatsuchō
    Hamamatsuchō is a business and transportation district in Tokyo known for its major train and monorail stations, office towers, and proximity to Tokyo Bay.
  • E. Tobata
    Tobata is a ward in the city of Kitakyushu, Japan, known historically as an independent city and an important industrial and port area in northern Kyushu.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb613fbb48190b82a06987310cc96 completed April 2, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2291a22f88190acf055a7410c1808 completed April 5, 2026, 9:19 a.m.
Created at: March 30, 2026, 8:45 p.m.