Triple

T4628473
Position Surface form Disambiguated ID Type / Status
Subject Gansu Province E101155 entity
Predicate ISOCode P208 FINISHED
Object CN-GS
CN-GS is the ISO 3166-2 code representing Gansu Province, a landlocked region in north-central China known for its role along the historic Silk Road.
 E457191 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: CN-GS | Statement: [Gansu Province, ISOCode, CN-GS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CN-GS
Context triple: [Gansu Province, ISOCode, CN-GS]
  • A. CNK
    CNK is the stock ticker symbol for Cinemark Holdings, Inc., a major American movie theater chain operator.
  • B. CGN
    CGN is a Swiss company that operates passenger ferry and cruise services on Lake Geneva.
  • C. CN-JS
    CN-JS is the ISO 3166-2 code for Jiangsu Province, an economically developed coastal province in eastern China.
  • D. CN-AH
    CN-AH is the ISO 3166-2 subdivision code assigned to Anhui Province in the People's Republic of China.
  • E. CN-QH
    CN-QH is the ISO 3166-2 subdivision code assigned to Qinghai Province in the People's Republic of China.
  • 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: CN-GS
Triple: [Gansu Province, ISOCode, CN-GS]
Generated description
CN-GS is the ISO 3166-2 code representing Gansu Province, a landlocked region in north-central China known for its role along the historic Silk Road.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CN-GS
Target entity description: CN-GS is the ISO 3166-2 code representing Gansu Province, a landlocked region in north-central China known for its role along the historic Silk Road.
  • A. CNK
    CNK is the stock ticker symbol for Cinemark Holdings, Inc., a major American movie theater chain operator.
  • B. CGN
    CGN is a Swiss company that operates passenger ferry and cruise services on Lake Geneva.
  • C. CN-JS
    CN-JS is the ISO 3166-2 code for Jiangsu Province, an economically developed coastal province in eastern China.
  • D. CN-AH
    CN-AH is the ISO 3166-2 subdivision code assigned to Anhui Province in the People's Republic of China.
  • E. CN-QH
    CN-QH is the ISO 3166-2 subdivision code assigned to Qinghai Province in the People's Republic of China.
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a300e6081909fa9f504aada33ea completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfab4f4808190920e420f566dec9b completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfc0964c881909e6b98a1c8ea747f completed March 21, 2026, 2:01 a.m.
NED2 Entity disambiguation (via description) batch_69bdfce1be788190ae3418df301e5136 completed March 21, 2026, 2:05 a.m.
Created at: March 20, 2026, 1:13 p.m.