Triple

T7946589
Position Surface form Disambiguated ID Type / Status
Subject Xiong clan E184513 entity
Predicate countryRuled P3022 FINISHED
Object Chu E502951 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: Chu | Statement: [Xiong clan, countryRuled, Chu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chu
Context triple: [Xiong clan, countryRuled, Chu]
  • A. Chu
    Chu is a major river in Central Asia that flows through Kyrgyzstan and Kazakhstan, playing an important role in regional agriculture and water supply.
  • B. Chu chosen
    Chu is a Chinese surname borne by numerous notable individuals across politics, science, arts, and entertainment.
  • C. Chau
    Chau is a romanized surname and given name of Chinese and Vietnamese origin, commonly used as a variant spelling of Zhao and several other East Asian names.
  • D. Chō
    Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
  • E. Chʻên
    Chʻên is the Wade–Giles romanization of the common Chinese surname 陳, more commonly written as "Chen" in pinyin.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b29a570819091a2ac185a8d57c4 completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5650cfb08190846e040f85c8369d completed March 31, 2026, 11:18 p.m.
Created at: March 30, 2026, 5:09 p.m.