Triple

T10879249
Position Surface form Disambiguated ID Type / Status
Subject Mitino E256877 entity
Predicate serves P98 FINISHED
Object Mitino District E897675 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: Mitino District | Statement: [Mitino, serves, Mitino District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitino District
Context triple: [Mitino, serves, Mitino District]
  • A. Mitino District chosen
    Mitino District is a residential administrative district in the northwestern part of Moscow, Russia, known for its large housing estates and developed urban infrastructure.
  • B. Kudanshita district
    Kudanshita district is a central Tokyo neighborhood known for its proximity to the Imperial Palace area, educational institutions, and cultural sites such as Yasukuni Shrine and the Nippon Budokan.
  • C. Oshiage district
    Oshiage district is a neighborhood in Tokyo best known as the area surrounding Tokyo Skytree, featuring a major transit hub and a mix of commercial and residential zones.
  • D. Kanda district
    Kanda district is a historic commercial and cultural area in central Tokyo known for its old bookstores, electronics shops, and traditional shrines.
  • E. Inukami District
    Inukami District is a rural administrative district in Shiga Prefecture, Japan, known for its small towns and scenic countryside.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751af50448190906b47c16878208f completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e373f38cfc8190977d1a59c31dac5f completed April 18, 2026, 12:07 p.m.
Created at: April 8, 2026, 9:21 p.m.