Triple

T12979185
Position Surface form Disambiguated ID Type / Status
Subject Shina people E321608 entity
Predicate selfDesignation P974 FINISHED
Object Shin E1014150 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: Shin | Statement: [Shina people, selfDesignation, Shin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shin
Context triple: [Shina people, selfDesignation, Shin]
  • A. Shin
    Shin is a common Japanese given name element that often conveys meanings like “truth,” “new,” or “heart,” depending on the kanji used.
  • B. Shin
    Shin is a fictional character voiced by American actress and singer Ashley Johnson, known for her versatile roles in animation and video games.
  • C. Shin chosen
    Shin is the ethnonym for the Shina people, an Indo-Aryan ethnic group primarily inhabiting the Gilgit-Baltistan region of northern Pakistan and surrounding areas.
  • D. Shinn
    Shinn is a surname most notably associated with Everett Shinn, an American realist painter and member of the Ashcan School.
  • E. Shou
    Shou is the personal name of King Zhou of Shang, the last ruler of China’s Shang dynasty, often depicted in tradition as a tyrannical and decadent monarch.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5b993481908f94fe096ade441b completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0f95c548190a6fc2c1ea98246c3 completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 8:39 p.m.