Triple

T30513727
Position Surface form Disambiguated ID Type / Status
Subject Chungshan E776500 entity
Predicate hasFormerTransliteration P65221 FINISHED
Object Chung-shan
Chung-shan is an older transliteration of Zhongshan, a city in Guangdong Province, China, named in honor of Sun Yat-sen.
 E1916758 NE FINISHED

How this triple was built (3 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: Chung-shan | Statement: [Chungshan, hasFormerTransliteration, Chung-shan]
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: Chung-shan
Triple: [Chungshan, hasFormerTransliteration, Chung-shan]
Generated description
Chung-shan is an older transliteration of Zhongshan, a city in Guangdong Province, China, named in honor of Sun Yat-sen.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasFormerTransliteration
Context triple: [Chungshan, hasFormerTransliteration, Chung-shan]
  • A. hasFormerRomanization
    Indicates that an entity was previously written or represented using an earlier or superseded system of Romanized spelling.
  • B. formerTransliteration chosen
    Indicates that one transliteration was previously used for an entity but has since been replaced by a different transliteration.
  • C. hasTransliterationRole
    Indicates that an entity participates in a transliteration process with a specific role (e.g., source, target, or agent of transliteration).
  • D. hasTransliterationType
    Indicates the type or system of transliteration used to convert text from one writing system into another.
  • E. hasTransliterationRule
    Indicates that there exists a specific rule or mapping that defines how text in one script or writing system is systematically converted into another.
  • F. None of above.

Provenance (6 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_69f2249a155c8190b1d512106007e9bb completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fcf825ca7081909d06b0df33eb33f9 completed May 7, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27ac3c5d30819091d8001070a54841 completed June 9, 2026, 6:01 a.m.
NEDg Description generation batch_6a27ad3048ec81909f58b8f52a449e5c completed June 9, 2026, 6:05 a.m.
NED2 Entity disambiguation (via description) batch_6a27adc727788190bf60ed1c2b80ce0c completed June 9, 2026, 6:08 a.m.
PD Predicate disambiguation batch_69fcf42160f0819096812a8bf590875e completed May 7, 2026, 8:20 p.m.
Created at: April 29, 2026, 8:16 p.m.