Triple

T23600730
Position Surface form Disambiguated ID Type / Status
Subject Yangzhong E582745 entity
Predicate hasChineseShortName P54502 FINISHED
Object 扬中
扬中是位于中国江苏省长江中的一座县级市，以水乡风光和电气产业闻名。
 E1592901 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: 扬中 | Statement: [Yangzhong, hasChineseShortName, 扬中]
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: 扬中
Triple: [Yangzhong, hasChineseShortName, 扬中]
Generated description
扬中是位于中国江苏省长江中的一座县级市，以水乡风光和电气产业闻名。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasChineseShortName
Context triple: [Yangzhong, hasChineseShortName, 扬中]
  • A. hasShortLatinName
    Indicates that an entity is associated with a brief or abbreviated Latin name.
  • B. hasOfficialShortNameInEnglish
    Indicates that an entity has a designated official short form of its name expressed in English.
  • C. hasChineseVersion chosen
    Indicates that an entity has a corresponding version or representation available in Chinese.
  • D. isShortName
    Indicates that one name is an abbreviated or shorter form of another name.
  • E. shortNameInJapanese
    Indicates that an entity has a specific abbreviated or shorter form of its name expressed in the Japanese language.
  • 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_69e248faa2788190abb1581742daa6aa completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b0936f588190aead4419aedfcb0e completed April 29, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f4584e1a881909542ccd283d9db76 completed May 21, 2026, 5:48 p.m.
NEDg Description generation batch_6a0f46d5885c819098231e2178e6606e completed May 21, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0f47c4597c81909425a8ac557a77af completed May 21, 2026, 5:58 p.m.
PD Predicate disambiguation batch_69f118c96a0081908a8ac98ef7e7e60c completed April 28, 2026, 8:30 p.m.
Created at: April 17, 2026, 6:43 p.m.