Triple

T9031997
Position Surface form Disambiguated ID Type / Status
Subject Kuki E216393 entity
Predicate linguisticVariety P41081 FINISHED
Object Simte
Simte is a Kuki-Chin language spoken primarily by the Simte people in parts of Northeast India and Myanmar.
 E772415 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: Simte | Statement: [Kuki, linguisticVariety, Simte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Simte
Context triple: [Kuki, linguisticVariety, Simte]
  • A. Simele
    Simele is a town in the Dohuk Governorate of Iraqi Kurdistan, historically known as the site of the 1933 massacre of Assyrian Christians.
  • B. Sitamun
    Sitamun was an ancient Egyptian princess of the 18th Dynasty, likely a daughter of Amenhotep III and Queen Tiye, who was elevated to the status of Great Royal Wife during her father's reign.
  • C. Sambir
    Sambir is a small historic city in western Ukraine known for its medieval roots and location within the Lviv Oblast.
  • D. Shimona
    Shimona is a feminine given name, typically considered a variant of Simone.
  • E. Simberi
    Simberi is an Oceanic language spoken on Simberi Island in the Tabar Island group of Papua New Guinea.
  • 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: Simte
Triple: [Kuki, linguisticVariety, Simte]
Generated description
Simte is a Kuki-Chin language spoken primarily by the Simte people in parts of Northeast India and Myanmar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Simte
Target entity description: Simte is a Kuki-Chin language spoken primarily by the Simte people in parts of Northeast India and Myanmar.
  • A. Simele
    Simele is a town in the Dohuk Governorate of Iraqi Kurdistan, historically known as the site of the 1933 massacre of Assyrian Christians.
  • B. Sitamun
    Sitamun was an ancient Egyptian princess of the 18th Dynasty, likely a daughter of Amenhotep III and Queen Tiye, who was elevated to the status of Great Royal Wife during her father's reign.
  • C. Sambir
    Sambir is a small historic city in western Ukraine known for its medieval roots and location within the Lviv Oblast.
  • D. Shimona
    Shimona is a feminine given name, typically considered a variant of Simone.
  • E. Simberi
    Simberi is an Oceanic language spoken on Simberi Island in the Tabar Island group of Papua New Guinea.
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6a9f2c7481909b4a272183f20585 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbc9c6e08190aa71d84316afc6d5 completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdcb95b508190b9d5562f4248e074 completed April 3, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69cfdd3293888190a9cd5e0621c2fe10 completed April 3, 2026, 3:30 p.m.
Created at: March 30, 2026, 7:08 p.m.