Triple

T10348535
Position Surface form Disambiguated ID Type / Status
Subject Tachelhit E243817 entity
Predicate ISO639-3 P208 FINISHED
Object shi
shi is the ISO 639-3 code for Tachelhit, a Berber language spoken primarily in southwestern Morocco.
E857753 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: shi | Statement: [Tachelhit, ISO639-3, shi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: shi
Context triple: [Tachelhit, ISO639-3, shi]
  • A. SHI
    SHI is the IATA airport code for Shimojishima Airport, a regional airport serving Shimoji Island in Okinawa Prefecture, Japan.
  • B. SH
    SH is the common abbreviation for Södertörn University, a higher education institution located in the Stockholm region of Sweden.
  • C. SH
    SH is the vehicle registration code for the Swiss canton of Schaffhausen.
  • D. qi
    Qi is the fundamental life force or vital energy in Taoist cosmology, believed to animate and connect all things in the universe.
  • E. Shi
    The Shi are a Bantu-speaking ethnic group primarily inhabiting the South Kivu region of the eastern Democratic Republic of the Congo, known for their agrarian lifestyle and rich cultural traditions.
  • 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: shi
Triple: [Tachelhit, ISO639-3, shi]
Generated description
shi is the ISO 639-3 code for Tachelhit, a Berber language spoken primarily in southwestern Morocco.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: shi
Target entity description: shi is the ISO 639-3 code for Tachelhit, a Berber language spoken primarily in southwestern Morocco.
  • A. SHI
    SHI is the IATA airport code for Shimojishima Airport, a regional airport serving Shimoji Island in Okinawa Prefecture, Japan.
  • B. SH
    SH is the common abbreviation for Södertörn University, a higher education institution located in the Stockholm region of Sweden.
  • C. SH
    SH is the vehicle registration code for the Swiss canton of Schaffhausen.
  • D. qi
    Qi is the fundamental life force or vital energy in Taoist cosmology, believed to animate and connect all things in the universe.
  • E. Shi
    The Shi are a Bantu-speaking ethnic group primarily inhabiting the South Kivu region of the eastern Democratic Republic of the Congo, known for their agrarian lifestyle and rich cultural traditions.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e945d51881908dd2af6c78344c9b completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7508e325c8190a88c2b972f8a6846 completed April 9, 2026, 7:09 a.m.
NEDg Description generation batch_69d7618da0188190901026dd51ceaa46 completed April 9, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d77045ea988190bd8e31f5f636f69b completed April 9, 2026, 9:24 a.m.
Created at: April 6, 2026, 11:56 a.m.