Triple

T8903493
Position Surface form Disambiguated ID Type / Status
Subject Tujia E211988 entity
Predicate autonym P1435 FINISHED
Object Bizika
Bizika is the endonym used by the Tujia people, an ethnic minority primarily living in the mountainous regions of central China.
 E766498 NE FINISHED

How this triple was built (4 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: Bizika | Statement: [Tujia, autonym, Bizika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bizika
Context triple: [Tujia, autonym, Bizika]
  • A. Bida
    Bida is a prominent town in Niger State, central Nigeria, known as a commercial and cultural hub of the Nupe people.
  • B. Bilma
    Bilma is an oasis town in northeastern Niger, historically significant as a key stop on trans-Saharan trade routes and known for its traditional salt production.
  • C. Bagamoyo
    Bagamoyo is a historic coastal town in present-day Tanzania that served as a major 19th-century East African trade and colonial center, including as an early administrative hub for German rule.
  • D. Bica
    Bica is a party involved in the U.S. Supreme Court case De Canas v. Bica, which addressed state authority over the employment of undocumented immigrants.
  • E. Bica
    Bica is a historic Lisbon neighborhood known for its steep streets, traditional houses, and the iconic Elevador da Bica funicular.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bizika
Triple: [Tujia, autonym, Bizika]
Generated description
Bizika is the endonym used by the Tujia people, an ethnic minority primarily living in the mountainous regions of central China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bizika
Target entity description: Bizika is the endonym used by the Tujia people, an ethnic minority primarily living in the mountainous regions of central China.
  • A. Bida
    Bida is a prominent town in Niger State, central Nigeria, known as a commercial and cultural hub of the Nupe people.
  • B. Bilma
    Bilma is an oasis town in northeastern Niger, historically significant as a key stop on trans-Saharan trade routes and known for its traditional salt production.
  • C. Bagamoyo
    Bagamoyo is a historic coastal town in present-day Tanzania that served as a major 19th-century East African trade and colonial center, including as an early administrative hub for German rule.
  • D. Bica
    Bica is a party involved in the U.S. Supreme Court case De Canas v. Bica, which addressed state authority over the employment of undocumented immigrants.
  • E. Bica
    Bica is a historic Lisbon neighborhood known for its steep streets, traditional houses, and the iconic Elevador da Bica funicular.
  • F. None of above. chosen

Provenance (5 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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc64c091d08190b59e54eb4a184e41 completed April 1, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba26bc7881908639e9a812dec894 completed April 3, 2026, 1:01 p.m.
NEDg Description generation batch_69cfbcab0cd88190a2ea89e27324e4ff completed April 3, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_69cfbd71b8ec81909d222897c898e78a completed April 3, 2026, 1:15 p.m.
Created at: March 30, 2026, 6:55 p.m.