Triple

T22157859
Position Surface form Disambiguated ID Type / Status
Subject Sulamutag Feng E547587 entity
Predicate hasNameInLanguage P15 FINISHED
Object Sulamutag Feng (English transliteration) NE NERFINISHED

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: Sulamutag Feng (English transliteration) | Statement: [Sulamutag Feng, hasNameInLanguage, Sulamutag Feng (English transliteration)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sulamutag Feng (English transliteration)
Context triple: [Sulamutag Feng, hasNameInLanguage, Sulamutag Feng (English transliteration)]
  • A. Sulamutag Feng chosen
    Sulamutag Feng is the highest peak in China’s remote Altyn-Tagh mountain range on the northern edge of the Tibetan Plateau.
  • B. Feng
    Feng is the flamboyant and villainous crime lord and ping-pong master who serves as the main antagonist in the comedy film "Balls of Fury."
  • C. Feng
    Feng was an early capital city of the Zhou dynasty in ancient China, serving as a key political and cultural center before later relocations.
  • D. Feng
    Feng is a Chinese surname borne by various notable figures in Chinese history and culture.
  • E. Feng
    Feng is a character or component associated with the Phoenix Project, likely contributing a distinct role or function within that larger work or initiative.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12a2aadb48190b4d739d1df9529db completed April 28, 2026, 9:44 p.m.
Created at: April 16, 2026, 8:33 p.m.