Triple

T16406210
Position Surface form Disambiguated ID Type / Status
Subject Dōgen E398437 entity
Predicate traveledTo P2694 FINISHED
Object Song China E186176 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: Song China | Statement: [Dōgen, traveledTo, Song China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Song China
Context triple: [Dōgen, traveledTo, Song China]
  • A. China (album)
    China is a 1979 electronic music album by Greek composer Vangelis, inspired by Chinese culture and incorporating both traditional motifs and synthesizer-based soundscapes.
  • B. Cina Soul
    Cina Soul is a Ghanaian singer-songwriter and recording artist known for her soulful blend of R&B, neo-soul, and Afro-fusion music.
  • C. China Soul
    China Soul is an American singer-songwriter known for her soulful, retro-influenced pop music and distinctive vocal style.
  • D. Southern Song chosen
    The Southern Song was the later period of China's Song dynasty, during which the imperial court ruled from the south after losing northern territories to the Jurchen Jin.
  • E. A Day in the Life of China
    A Day in the Life of China is a large-scale photographic book project capturing a single day across China through images taken by dozens of international and Chinese photographers.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327d2b4e48190b7153f198639e9cd completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c62614c8190acd6d211cab1be11 completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:09 a.m.