Triple

T11337692
Position Surface form Disambiguated ID Type / Status
Subject Secretariat of Economy (Mexico) E268511 entity
Predicate shortName P43 FINISHED
Object SE
SE is the commonly used abbreviation for Mexico’s Secretariat of Economy, the federal government ministry responsible for economic policy, trade, and industrial development.
 E918387 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: [Secretariat of Economy (Mexico), shortName, SE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SE
Context triple: [Secretariat of Economy (Mexico), shortName, 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. 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.
  • D. STE
    STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
  • E. STE
    STE is the public agency that operates Mexico City’s electric transport services, including trolleybuses and light rail.
  • 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: [Secretariat of Economy (Mexico), shortName, SE]
Generated description
SE is the commonly used abbreviation for Mexico’s Secretariat of Economy, the federal government ministry responsible for economic policy, trade, and industrial development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SE
Target entity description: SE is the commonly used abbreviation for Mexico’s Secretariat of Economy, the federal government ministry responsible for economic policy, trade, and industrial development.
  • 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. 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.
  • D. STE
    STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
  • E. STE
    STE is the public agency that operates Mexico City’s electric transport services, including trolleybuses and light rail.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea008b5081908e6c6c6fc29ef936 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5264174d481908db15fb9f644f21d completed April 19, 2026, 7 p.m.
NEDg Description generation batch_69e52c84518881909e6e2a593348a81a completed April 19, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69e531d23ba481909de04fc49ccd9f1e completed April 19, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:33 p.m.