Triple

T10911977
Position Surface form Disambiguated ID Type / Status
Subject Datooga E257722 entity
Predicate iso6393Code P36930 FINISHED
Object tcc
tcc is the ISO 639-3 language code for Datooga, a Nilotic language spoken primarily by the Datooga people of Tanzania.
 E892743 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: tcc | Statement: [Datooga, iso6393Code, tcc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: tcc
Context triple: [Datooga, iso6393Code, tcc]
  • A. TCC
    TCC is a prominent theoretical cryptography conference that focuses on foundational research in cryptographic theory and related areas of computer science.
  • B. TCC
    TCC is the commonly used abbreviation for the Tax Court of Canada, a federal court that specializes in resolving tax-related disputes between taxpayers and the Canadian government.
  • C. TCC
    TCC is a public community college in Tallahassee, Florida, offering two-year degrees, workforce training, and transfer programs to four-year universities.
  • D. TCC
    TCC is the commonly used abbreviation for the Taipei City Council, the elected municipal legislature of Taipei, Taiwan.
  • E. TCC
    The TCC is a specialist court in England and Wales that handles complex technology, engineering, and construction disputes.
  • 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: tcc
Triple: [Datooga, iso6393Code, tcc]
Generated description
tcc is the ISO 639-3 language code for Datooga, a Nilotic language spoken primarily by the Datooga people of Tanzania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: tcc
Target entity description: tcc is the ISO 639-3 language code for Datooga, a Nilotic language spoken primarily by the Datooga people of Tanzania.
  • A. TCC
    TCC is a prominent theoretical cryptography conference that focuses on foundational research in cryptographic theory and related areas of computer science.
  • B. TCC
    TCC is a public community college in Tallahassee, Florida, offering two-year degrees, workforce training, and transfer programs to four-year universities.
  • C. TCC
    TCC is the commonly used abbreviation for the Tax Court of Canada, a federal court that specializes in resolving tax-related disputes between taxpayers and the Canadian government.
  • D. TCC
    TCC is the commonly used abbreviation for the Taipei City Council, the elected municipal legislature of Taipei, Taiwan.
  • E. TCC
    TCC is the abbreviated name for the Technical Cooperation Committee, a body typically responsible for overseeing and guiding international technical assistance and capacity-building activities.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770723df08190bedfdc94d998f969 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e155550e388190bd441ac3a9dde435 completed April 16, 2026, 9:32 p.m.
NEDg Description generation batch_69e1801eaa048190a5e8822b3da1077c completed April 17, 2026, 12:34 a.m.
NED2 Entity disambiguation (via description) batch_69e1831f8a6c819084bde8f71371cf8e completed April 17, 2026, 12:47 a.m.
Created at: April 8, 2026, 9:22 p.m.