Triple

T11361269
Position Surface form Disambiguated ID Type / Status
Subject Hannan E269090 entity
Predicate locatedIn P40 FINISHED
Object Japan archipelago E38202 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: Japan archipelago | Statement: [Hannan, locatedIn, Japan archipelago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japan archipelago
Context triple: [Hannan, locatedIn, Japan archipelago]
  • A. Japanese archipelago chosen
    The Japanese archipelago is a chain of islands in East Asia that forms the country of Japan, stretching from Hokkaido in the north to Okinawa in the south.
  • B. Honshu
    Honshu is the largest and most populous island of Japan, home to major cities such as Tokyo, Osaka, and Kyoto.
  • C. Japonski Island
    Japonski Island is a small island in Sitka, Alaska, known for hosting Sitka Rocky Gutierrez Airport and facilities connected to the city by the O'Connell Bridge.
  • D. Japo
    Japo is a small settlement located on Arno Atoll in the Marshall Islands.
  • E. Ninoshima
    Ninoshima is a small island in Japan known for its location near Hiroshima and its historical role during and after the atomic bombing of Hiroshima in World War II.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea442e5c8190babfde25540b27e9 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556542ecc8190a8109c17944598ab completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:33 p.m.