Triple

T5075689
Position Surface form Disambiguated ID Type / Status
Subject Heilongjiang E114388 entity
Predicate isoCode P189 FINISHED
Object CN-HL
CN-HL is the ISO 3166-2 subdivision code assigned to Heilongjiang Province in northeastern China.
 E491946 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-HL | Statement: [Heilongjiang, isoCode, CN-HL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CN-HL
Context triple: [Heilongjiang, isoCode, CN-HL]
  • A. CN-AH
    CN-AH is the ISO 3166-2 subdivision code assigned to Anhui Province in the People's Republic of China.
  • B. CN-QH
    CN-QH is the ISO 3166-2 subdivision code assigned to Qinghai Province in the People's Republic of China.
  • C. 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.
  • D. CN
    CN is a major Canadian freight railway company that operates an extensive rail network across Canada and into the United States.
  • E. CN
    CN is the commonly used abbreviation for Monaco’s National Council, the unicameral legislative body of the Principality.
  • 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-HL
Triple: [Heilongjiang, isoCode, CN-HL]
Generated description
CN-HL is the ISO 3166-2 subdivision code assigned to Heilongjiang Province in northeastern China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CN-HL
Target entity description: CN-HL is the ISO 3166-2 subdivision code assigned to Heilongjiang Province in northeastern China.
  • A. CN-AH
    CN-AH is the ISO 3166-2 subdivision code assigned to Anhui Province in the People's Republic of China.
  • B. CN-QH
    CN-QH is the ISO 3166-2 subdivision code assigned to Qinghai Province in the People's Republic of China.
  • C. 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.
  • D. CN
    CN is a major Canadian freight railway company that operates an extensive rail network across Canada and into the United States.
  • E. CN
    CN is the commonly used abbreviation for Monaco’s National Council, the unicameral legislative body of the Principality.
  • 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74d2243481908c1ae62f7123c4e9 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb121fa388190ab3909d20f014b6f completed March 21, 2026, 2:54 p.m.
NEDg Description generation batch_69beb202a8748190b677d7bcd2db66c8 completed March 21, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_69beb28cf7b881909d40b70a7fff5033 completed March 21, 2026, 3 p.m.
Created at: March 20, 2026, 1:39 p.m.