Triple

T9050978
Position Surface form Disambiguated ID Type / Status
Subject Chữ Nôm E216880 entity
Predicate ISO15924Code P208 FINISHED
Object Hanb
Hanb is the ISO 15924 script code representing the traditional Vietnamese Chữ Nôm writing system, which uses adapted Chinese characters.
E775468 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: Hanb | Statement: [Chữ Nôm, ISO15924Code, Hanb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanb
Context triple: [Chữ Nôm, ISO15924Code, Hanb]
  • A. HAN
    HAN is the standard abbreviation used for the Hanshin Tigers, a professional baseball team in Japan's Nippon Professional Baseball league.
  • B. HAN
    HAN is the IATA airport code for Noi Bai International Airport, the main international gateway serving Hanoi, Vietnam.
  • C. Handai
    Handai is the common Japanese abbreviation for Osaka University, a leading national research university based in Osaka, Japan.
  • D. Haabneeme
    Haabneeme is a small coastal settlement in northern Estonia, located on the Viimsi Peninsula near Tallinn.
  • E. Han
    Han is a common transliteration of the historical Central Asian title "Khan," often associated with rulers and nobility in various Turkic and Mongolic cultures.
  • 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: Hanb
Triple: [Chữ Nôm, ISO15924Code, Hanb]
Generated description
Hanb is the ISO 15924 script code representing the traditional Vietnamese Chữ Nôm writing system, which uses adapted Chinese characters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hanb
Target entity description: Hanb is the ISO 15924 script code representing the traditional Vietnamese Chữ Nôm writing system, which uses adapted Chinese characters.
  • A. HAN
    HAN is the standard abbreviation used for the Hanshin Tigers, a professional baseball team in Japan's Nippon Professional Baseball league.
  • B. HAN
    HAN is the IATA airport code for Noi Bai International Airport, the main international gateway serving Hanoi, Vietnam.
  • C. Handai
    Handai is the common Japanese abbreviation for Osaka University, a leading national research university based in Osaka, Japan.
  • D. Haabneeme
    Haabneeme is a small coastal settlement in northern Estonia, located on the Viimsi Peninsula near Tallinn.
  • E. Han
    Han is a common transliteration of the historical Central Asian title "Khan," often associated with rulers and nobility in various Turkic and Mongolic cultures.
  • 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b54423081908d9fd985109e336a completed April 1, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebc90bf88190bbcdab07ca93f569 completed April 3, 2026, 4:33 p.m.
NEDg Description generation batch_69cfecf7fce08190a9b80044a2ae9745 completed April 3, 2026, 4:38 p.m.
NED2 Entity disambiguation (via description) batch_69cff0ea8c388190bd95233db9c69038 completed April 3, 2026, 4:55 p.m.
Created at: March 30, 2026, 7:10 p.m.