Triple

T2739342
Position Surface form Disambiguated ID Type / Status
Subject Province of Liège E60709 entity
Predicate ISOCode P208 FINISHED
Object BE-WLG
BE-WLG is the ISO 3166-2 code that uniquely identifies the Belgian province of Liège.
 E294195 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: BE-WLG | Statement: [Province of Liège, ISOCode, BE-WLG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BE-WLG
Context triple: [Province of Liège, ISOCode, BE-WLG]
  • A. LWL
    LWL is the vehicle registration code assigned to the Włodawa area in eastern Poland.
  • B. BEAS
    BEAS was the stock ticker symbol for BEA Systems, a software company best known for its enterprise middleware and WebLogic application server before being acquired by Oracle.
  • C. WBD
    WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
  • D. BESE
    BESE is the acronym for the Massachusetts Board of Elementary and Secondary Education, the state body responsible for overseeing public K–12 education policy and standards in Massachusetts.
  • E. ZWL
    ZWL is the currency code for the reintroduced Zimbabwean dollar used in Zimbabwe’s monetary system.
  • 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: BE-WLG
Triple: [Province of Liège, ISOCode, BE-WLG]
Generated description
BE-WLG is the ISO 3166-2 code that uniquely identifies the Belgian province of Liège.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BE-WLG
Target entity description: BE-WLG is the ISO 3166-2 code that uniquely identifies the Belgian province of Liège.
  • A. LWL
    LWL is the vehicle registration code assigned to the Włodawa area in eastern Poland.
  • B. BEAS
    BEAS was the stock ticker symbol for BEA Systems, a software company best known for its enterprise middleware and WebLogic application server before being acquired by Oracle.
  • C. WBD
    WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
  • D. BESE
    BESE is the acronym for the Massachusetts Board of Elementary and Secondary Education, the state body responsible for overseeing public K–12 education policy and standards in Massachusetts.
  • E. ZWL
    ZWL is the currency code for the reintroduced Zimbabwean dollar used in Zimbabwe’s monetary system.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb2da94c8190bc9d23262e3dfc07 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbc828388190af6c3b75ed765401 completed March 10, 2026, 6:35 a.m.
NEDg Description generation batch_69afbc3b0aa08190ac0254e7e4300b9c completed March 10, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_69afbcb25ee4819093a8bd77bbcd8a86 completed March 10, 2026, 6:39 a.m.
Created at: March 6, 2026, 9:56 p.m.