Triple

T8335249
Position Surface form Disambiguated ID Type / Status
Subject Iga E195170 entity
Predicate historicallyPartOf P5057 FINISHED
Object Iga Province E412235 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: Iga Province | Statement: [Iga, historicallyPartOf, Iga Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iga Province
Context triple: [Iga, historicallyPartOf, Iga Province]
  • A. Iga Province chosen
    Iga Province was a historical region of Japan, in present-day Mie Prefecture, famed as the birthplace of the poet Matsuo Bashō and as a center of ninja (shinobi) culture.
  • B. Jiwaka Province
    Jiwaka Province is a landlocked province in the central highlands of Papua New Guinea, known for its fertile valleys, coffee production, and diverse indigenous cultures.
  • C. Omasuyos Province
    Omasuyos Province is an administrative subdivision in western Bolivia known for its location near Lake Titicaca and its predominantly Aymara indigenous population.
  • D. Tailevu Province
    Tailevu Province is an administrative region on the island of Viti Levu in Fiji, known for its mix of coastal areas, rural villages, and proximity to the capital region.
  • E. Iga-shi
    Iga-shi is a city in Mie Prefecture, Japan, historically famous as a center of ninja (shinobi) culture and training.
  • 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_69ca82e87f2c8190bdb71ee29dfc642d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd2ca648190991e398ba70caf8d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde794a4008190bbcb2f114c503458 completed April 2, 2026, 3:50 a.m.
Created at: March 30, 2026, 5:57 p.m.