Triple

T1368711
Position Surface form Disambiguated ID Type / Status
Subject Hunan Province E30061 entity
Predicate abbreviation P43 FINISHED
Object Xiang
Xiang is the standard abbreviation and common short name used to refer to China’s Hunan Province.
 E155940 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: Xiang | Statement: [Hunan Province, abbreviation, Xiang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xiang
Context triple: [Hunan Province, abbreviation, Xiang]
  • A. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • B. Shi
    Shi is a Chinese surname historically associated with members of the Jewish community in Kaifeng, China.
  • C. Xing
    Xing is a German-based professional networking platform focused on career development and business connections, particularly in German-speaking countries.
  • D. Zhu
    Zhu is a common Chinese surname borne by many notable historical and contemporary figures in China.
  • E. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • 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: Xiang
Triple: [Hunan Province, abbreviation, Xiang]
Generated description
Xiang is the standard abbreviation and common short name used to refer to China’s Hunan Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xiang
Target entity description: Xiang is the standard abbreviation and common short name used to refer to China’s Hunan Province.
  • A. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • B. Shi
    Shi is a Chinese surname historically associated with members of the Jewish community in Kaifeng, China.
  • C. Xing
    Xing is a German-based professional networking platform focused on career development and business connections, particularly in German-speaking countries.
  • D. Zhu
    Zhu is a common Chinese surname borne by many notable historical and contemporary figures in China.
  • E. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d497f88190993d16a208ced43d completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce7ae56c8190970bacb061a71798 completed March 8, 2026, 1:18 a.m.
NEDg Description generation batch_69accf15d910819098e9a4b24247881b completed March 8, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69accffa9a40819083a3e55a5d83e040 completed March 8, 2026, 1:25 a.m.
Created at: March 1, 2026, 7:57 p.m.