Triple

T11749828
Position Surface form Disambiguated ID Type / Status
Subject Yosano Akiko E279375 entity
Predicate placeOfBirth P1 FINISHED
Object Sakai, Osaka, Japan E54456 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: Sakai, Osaka, Japan | Statement: [Yosano Akiko, placeOfBirth, Sakai, Osaka, Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sakai, Osaka, Japan
Context triple: [Yosano Akiko, placeOfBirth, Sakai, Osaka, Japan]
  • A. Sakai, Osaka Prefecture, Japan chosen
    Sakai, in Osaka Prefecture, Japan, is a historic city renowned for its ancient Mozu kofun burial mounds, traditional craftsmanship, and role as a major commercial center since medieval times.
  • B. Namba, Osaka, Japan
    Namba, Osaka, Japan is a major commercial and entertainment district in central Osaka known for its bustling shopping streets, nightlife, and transportation hubs.
  • C. Kadoma, Osaka, Japan
    Kadoma is a city in Osaka Prefecture, Japan, known as a major industrial and corporate hub in the Kansai region.
  • D. Abeno-ku, Osaka, Japan
    Abeno-ku is a central ward of Osaka, Japan, known as a major commercial and transportation hub that hosts the landmark skyscraper Abeno Harukas.
  • E. Osaka, Kansai, Japan
    Osaka, Kansai, Japan is a major Japanese metropolitan region known as an economic, cultural, and transportation hub that will host the World Expo 2025.
  • 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_69d8a508b0c4819082fbcc27d559ea2f completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a0492b48190b6f2e3cf36b4f537 completed April 28, 2026, 2:23 a.m.
Created at: April 8, 2026, 9:41 p.m.