Triple

T13706392
Position Surface form Disambiguated ID Type / Status
Subject Hakha Chin E328651 entity
Predicate hasDialects P4251 FINISHED
Object Farhual
Farhual is a regional dialect of the Hakha Chin language spoken by Chin communities in parts of Myanmar and neighboring areas.
E1056415 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: Farhual | Statement: [Hakha Chin, hasDialects, Farhual]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farhual
Context triple: [Hakha Chin, hasDialects, Farhual]
  • A. Fardis
    Fardis is a city in Iran that serves as an urban center within the country's Alborz Province.
  • B. Faris
    Faris is the surname of American actress and comedian Anna Faris, known for her roles in the Scary Movie film series and various comedy projects.
  • C. Fad‘an
    Fad‘an is a subtribe of the large and historically influential Arab tribal confederation of Anizah.
  • D. Fazza
    Fazza is the popular pen name of Sheikh Hamdan bin Mohammed Al Maktoum, the Crown Prince of Dubai and a well-known Emirati poet and public figure.
  • E. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • 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: Farhual
Triple: [Hakha Chin, hasDialects, Farhual]
Generated description
Farhual is a regional dialect of the Hakha Chin language spoken by Chin communities in parts of Myanmar and neighboring areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Farhual
Target entity description: Farhual is a regional dialect of the Hakha Chin language spoken by Chin communities in parts of Myanmar and neighboring areas.
  • A. Fardis
    Fardis is a city in Iran that serves as an urban center within the country's Alborz Province.
  • B. Faris
    Faris is the surname of American actress and comedian Anna Faris, known for her roles in the Scary Movie film series and various comedy projects.
  • C. Fad‘an
    Fad‘an is a subtribe of the large and historically influential Arab tribal confederation of Anizah.
  • D. Fazza
    Fazza is the popular pen name of Sheikh Hamdan bin Mohammed Al Maktoum, the Crown Prince of Dubai and a well-known Emirati poet and public figure.
  • E. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad17732c8190bbd0d73107711c99 completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d52b3708190ae0945e65b271556 completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79df2984c8190bed380102ade0725 completed May 3, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69f79e7d50a88190b2a90094dd6d48ad completed May 3, 2026, 7:14 p.m.
Created at: April 9, 2026, 9:54 p.m.