Triple

T9894010
Position Surface form Disambiguated ID Type / Status
Subject Matsusaka beef E181523 entity
Predicate placeOfOrigin P3743 FINISHED
Object Matsusaka, Mie Prefecture E398504 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: Matsusaka, Mie Prefecture | Statement: [Matsusaka beef, placeOfOrigin, Matsusaka, Mie Prefecture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matsusaka, Mie Prefecture
Context triple: [Matsusaka beef, placeOfOrigin, Matsusaka, Mie Prefecture]
  • A. Matsusaka chosen
    Matsusaka is a city in Japan renowned for its high-quality Matsusaka beef and historical merchant culture.
  • B. Higashiosaka, Osaka Prefecture, Japan
    Higashiosaka is a major industrial and educational city in Osaka Prefecture, Japan, known for its manufacturing base and as the home of several universities and research institutions.
  • C. Habikino, Osaka
    Habikino is a city in Osaka Prefecture, Japan, historically notable for its large kofun burial mounds and ancient imperial tombs.
  • D. Ichinomiya, Hyōgo
    Ichinomiya, Hyōgo was a former town in Hyōgo Prefecture, Japan, that later became part of the city of Awaji through municipal consolidation.
  • E. Gojō, Nara Prefecture
    Gojō is a city in Nara Prefecture, Japan, known for its mountainous scenery, historic temples, and traditional townscapes along the Yoshino 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb48271d48190b718c7f6b2fe315b completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d888b408190a68ff55d63558478 completed April 5, 2026, 7:21 a.m.
Created at: March 30, 2026, 8:39 p.m.