Triple

T7891516
Position Surface form Disambiguated ID Type / Status
Subject Ise-Shima National Park E183244 entity
Predicate majorCityNearby P1982 FINISHED
Object Ise E161949 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: Ise | Statement: [Ise-Shima National Park, majorCityNearby, Ise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ise
Context triple: [Ise-Shima National Park, majorCityNearby, Ise]
  • A. Ise
    The Ise is a river in Lower Saxony, Germany, known as a tributary of the Aller and part of the Weser river system.
  • B. Ise
    Ise was a Japanese Imperial Navy battleship later converted into a hybrid battleship–aircraft carrier during World War II.
  • C. Ise chosen
    Ise is a Japanese city in Mie Prefecture best known as the site of Ise Grand Shrine, the most sacred Shinto shrine dedicated to the sun goddess Amaterasu.
  • D. Yamatogawa
    Yamatogawa is the romanized name of the Yamato River, a significant waterway in the Kansai region of Japan.
  • E. Nagaokakyo
    Nagaokakyo is a suburban city in Japan known for its bamboo groves, historical temples, and convenient location between Kyoto and Osaka.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39ee137081908e87e35016c3a176 completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdfb5d7e08190a04dc9d3dc35a0e6 completed March 31, 2026, 2:52 p.m.
Created at: March 30, 2026, 5 p.m.