Triple

T10939251
Position Surface form Disambiguated ID Type / Status
Subject Kanda Station E258421 entity
Predicate nearbyArea P2064 FINISHED
Object Kanda district E415529 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: Kanda district | Statement: [Kanda Station, nearbyArea, Kanda district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanda district
Context triple: [Kanda Station, nearbyArea, Kanda district]
  • A. Kanda district chosen
    Kanda district is a historic commercial and cultural area in central Tokyo known for its old bookstores, electronics shops, and traditional shrines.
  • B. Hana District
    Hana District is a rural administrative region on the eastern side of Maui, Hawaii, known for its remote coastal landscapes, lush rainforests, and the scenic Road to Hana.
  • C. Ichigaya district
    Ichigaya district is a central Tokyo neighborhood known for its government and military institutions, educational facilities, and proximity to the Imperial Palace area.
  • D. Tenma district
    Tenma district is a bustling urban neighborhood in Osaka, Japan, known for its traditional shopping arcades, lively nightlife, and historic Tenmangu Shrine.
  • E. Arakawa district
    Arakawa district is a special ward in northeastern Tokyo known for its mix of traditional shitamachi neighborhoods, residential areas, and industrial zones.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c1389881909341170984211810 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4acc9d60c819084e342076fe682fc completed April 19, 2026, 10:22 a.m.
Created at: April 8, 2026, 9:23 p.m.