Triple

T1731283
Position Surface form Disambiguated ID Type / Status
Subject Societas Europaea E37815 entity
Predicate hasAbbreviation P43 FINISHED
Object SE
SE is the standard abbreviation for a Societas Europaea, a public limited-liability company structure that allows firms to operate across European Union member states under a single legal form.
E195024 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: SE | Statement: [Societas Europaea, hasAbbreviation, SE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SE
Context triple: [Societas Europaea, hasAbbreviation, SE]
  • A. SE
    SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
  • B. SE
    SE is the official two-letter postal abbreviation for the Brazilian state of Sergipe.
  • C. STE
    STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
  • D. SEK
    SEK is the official currency code for the Swedish krona, the national currency of Sweden.
  • E. SO
    SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
  • 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: SE
Triple: [Societas Europaea, hasAbbreviation, SE]
Generated description
SE is the standard abbreviation for a Societas Europaea, a public limited-liability company structure that allows firms to operate across European Union member states under a single legal form.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SE
Target entity description: SE is the standard abbreviation for a Societas Europaea, a public limited-liability company structure that allows firms to operate across European Union member states under a single legal form.
  • A. SE
    SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
  • B. SE
    SE is the official two-letter postal abbreviation for the Brazilian state of Sergipe.
  • C. STE
    STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
  • D. SEK
    SEK is the official currency code for the Swedish krona, the national currency of Sweden.
  • E. SO
    SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63804cd48190aef5e0f231600e58 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8af9c15c8190818a891f5eae6569 completed March 8, 2026, 2:43 p.m.
NEDg Description generation batch_69ad957ce41881909f1e214ebf4b08a4 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97b479bc81908b5f75b5df41f577 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.