Triple

T12729184
Position Surface form Disambiguated ID Type / Status
Subject Liupanshui E304185 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Bouyei E893914 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: Bouyei | Statement: [Liupanshui, hasEthnicGroup, Bouyei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bouyei
Context triple: [Liupanshui, hasEthnicGroup, Bouyei]
  • A. Bouyi chosen
    Bouyi is an alternate name for the Bouyei language, a Tai–Kadai language spoken primarily by the Bouyei ethnic group in southern China.
  • B. Osanobua
    Osanobua is the supreme creator god and central deity in the traditional religion and cosmology of the Edo people of Nigeria.
  • C. Chō
    Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
  • D. Hoan-ya
    Hoan-ya is an alternative name for the Hoanya language, an indigenous Formosan language historically spoken in Taiwan.
  • E. Taishi
    Taishi was the first era name used by Emperor Wu of the Western Han dynasty, marking an important early phase of his long and influential reign in ancient China.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964172490819080cd022ff8290b6e completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8a4b7c8190a514b623a7364fd7 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:25 p.m.