Triple

T14437375
Position Surface form Disambiguated ID Type / Status
Subject Hoppy-dori E357999 entity
Predicate ward P21208 FINISHED
Object Taito E34802 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: Taito | Statement: [Hoppy-dori, ward, Taito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taito
Context triple: [Hoppy-dori, ward, Taito]
  • A. Taitō chosen
    Taitō is a special ward in central Tokyo known for its historic districts, traditional temples, and major cultural attractions such as Ueno Park and Asakusa.
  • B. Tunechi
    Tunechi is a popular nickname and alter ego of American rapper Lil Wayne, often used to refer to his distinctive persona and musical brand.
  • C. Touki Bouki
    Touki Bouki is a 1973 Senegalese avant-garde road film by Djibril Diop Mambéty, celebrated for its innovative style and critique of postcolonial society.
  • D. Santok
    Santok is a historic village in western Poland, long known as a strategic fortified settlement at the confluence of the Noteć and Warta rivers.
  • E. Tapa
    Tapa is an ethnic group in central Nigeria, more commonly known as the Nupe people, recognized for their rich cultural traditions, crafts, and historical kingdom along the Niger River.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914a45ec81909ab8ccf302047d7f completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda90a7f2881909a7744f1f4344173 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:18 a.m.