Triple

T3929537
Position Surface form Disambiguated ID Type / Status
Subject Sapokanikan E93361 entity
Predicate title P38 FINISHED
Object Sapokanikan E93361 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: Sapokanikan | Statement: [Sapokanikan, title, Sapokanikan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sapokanikan
Context triple: [Sapokanikan, title, Sapokanikan]
  • A. Sapokanikan chosen
    "Sapokanikan" is a song by American singer-songwriter Joanna Newsom from her 2015 album "Divers," noted for its intricate lyrics and historical allusions.
  • B. Abaporu
    Abaporu is a famous 1928 painting by Brazilian artist Tarsila do Amaral that became an icon of Brazilian modernism and inspired the Anthropophagic Movement in Brazilian art and literature.
  • C. Kakushōkaku
    Kakushōkaku is a historic Japanese-style residence located within Yokohama’s Sankeien Garden, known for its traditional architecture and scenic views over the landscaped grounds.
  • D. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • E. Kamitsumaki
    Kamitsumaki is the first volume of the ancient Japanese chronicle Kojiki, focusing on Shinto creation myths and the age of the gods.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeda65b708190b24cd715915aec1d completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5288094408190b5fece72ead94ec1 completed March 14, 2026, 9:21 a.m.
Created at: March 9, 2026, 3:23 p.m.