Triple

T1877887
Position Surface form Disambiguated ID Type / Status
Subject Teochew E39184 entity
Predicate ISO639-3 P208 FINISHED
Object nan
nan is the ISO 639-3 language code assigned to the Teochew (Chaoshan) Chinese language variety spoken primarily in eastern Guangdong, China, and among overseas Chinese communities.
 E209346 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: nan | Statement: [Teochew, ISO639-3, nan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: nan
Context triple: [Teochew, ISO639-3, nan]
  • A. Nut
    Nut is the ancient Egyptian sky goddess, often depicted arching over the earth and associated with the heavens, stars, and the cyclical rebirth of the sun.
  • B. NA
    NA is the commonly used abbreviation for the National Assembly of Pakistan, the lower house of the country's bicameral parliament.
  • C. N
    The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
  • D. NU
    NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
  • E. NU
    NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
  • 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: nan
Triple: [Teochew, ISO639-3, nan]
Generated description
nan is the ISO 639-3 language code assigned to the Teochew (Chaoshan) Chinese language variety spoken primarily in eastern Guangdong, China, and among overseas Chinese communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: nan
Target entity description: nan is the ISO 639-3 language code assigned to the Teochew (Chaoshan) Chinese language variety spoken primarily in eastern Guangdong, China, and among overseas Chinese communities.
  • A. Nut
    Nut is the ancient Egyptian sky goddess, often depicted arching over the earth and associated with the heavens, stars, and the cyclical rebirth of the sun.
  • B. NA
    NA is the commonly used abbreviation for the National Assembly of Pakistan, the lower house of the country's bicameral parliament.
  • C. N
    The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
  • D. NU
    NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
  • E. NU
    NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0f79fbc819085c54f3189a552d9 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf59a5b48190bb4b47641681ebb7 completed March 8, 2026, 8:43 p.m.
NEDg Description generation batch_69addfe46b388190b319043170253701 completed March 8, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_69ade08d0ce0819097beb901dbb39d89 completed March 8, 2026, 8:48 p.m.
Created at: March 4, 2026, 7:34 p.m.