Triple

T13531629
Position Surface form Disambiguated ID Type / Status
Subject Aoyama-dori E323146 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Omotesando area E658929 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: Omotesando area | Statement: [Aoyama-dori, hasNeighbourhood, Omotesando area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omotesando area
Context triple: [Aoyama-dori, hasNeighbourhood, Omotesando area]
  • A. Omotesando district chosen
    Omotesando district is a fashionable Tokyo neighborhood known for its tree-lined avenue, high-end boutiques, modern architecture, and trendy cafes.
  • B. Nipponbashi area
    The Nipponbashi area is Osaka’s famous electronics and otaku shopping district, known for its dense concentration of anime, manga, game, and gadget stores.
  • C. Kyōbashi commercial area
    The Kyōbashi commercial area is a bustling Osaka district known for its dense concentration of shops, restaurants, and entertainment venues, as well as its major railway hub.
  • D. Toranomon district
    Toranomon district is a central business and commercial area in Tokyo known for its modern skyscrapers, government offices, and proximity to major transport and cultural sites.
  • E. Nagatachō district
    Nagatachō district is Tokyo’s political center, housing key institutions such as the National Diet Building, the Prime Minister’s Office, and various government ministries.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbb34548190a6b44faa48125cd4 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce5ecad88190b7c8236969d9abc7 completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 9:44 p.m.