Triple

T11744393
Position Surface form Disambiguated ID Type / Status
Subject Tokyo 23 wards E279238 entity
Predicate containsAdministrativeDivision P747 FINISHED
Object Sumida E34202 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: Sumida | Statement: [Tokyo 23 wards, containsAdministrativeDivision, Sumida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sumida
Context triple: [Tokyo 23 wards, containsAdministrativeDivision, Sumida]
  • A. Sumida chosen
    Sumida is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its traditional shitamachi neighborhoods.
  • B. Nihonbashi River
    The Nihonbashi River is a historic urban waterway in central Tokyo that has long served as an important commercial and transportation artery for the city.
  • C. Sumida River
    The Sumida River is a historically significant river flowing through central Tokyo, known for its scenic bridges, cherry blossoms, and cultural prominence in Japanese art and literature.
  • D. Shibuya River
    The Shibuya River is a small urban waterway in Tokyo that runs largely underground through the Shibuya district before joining the Meguro River.
  • E. Meguro River
    The Meguro River is a well-known urban river in Tokyo, Japan, famous for its picturesque cherry blossom-lined banks that attract many visitors during spring.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f2a38c8190a682d8dae1ab9415 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f62a7307a8819095205ce5aa3e7abc completed May 2, 2026, 4:46 p.m.
Created at: April 8, 2026, 9:41 p.m.