Triple

T738795
Position Surface form Disambiguated ID Type / Status
Subject Chihuahua E14995 entity
Predicate ISO3166-2 P189 FINISHED
Object MX-CHH
MX-CHH is the ISO 3166-2 subdivision code assigned to the Mexican state of Chihuahua.
E686 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: MX-CHH | Statement: [Chihuahua, ISO3166-2, MX-CHH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MX-CHH
Context triple: [Chihuahua, ISO3166-2, MX-CHH]
  • A. HMX-1
    HMX-1 is the United States Marine Corps helicopter squadron responsible for transporting the President and other VIPs, most famously operating the aircraft known as Marine One.
  • B. MHV
    MHV is the IATA airport code for Mojave Air and Space Port, a well-known aerospace testing and flight facility in Mojave, California.
  • C. MX
    MX is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Mexico in international standards and systems.
  • D. BCCh
    BCCh is the acronym for the Central Bank of Chile, the country’s autonomous monetary authority responsible for maintaining price stability and financial system soundness.
  • E. MH
    MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
  • 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: MX-CHH
Triple: [Chihuahua, ISO3166-2, MX-CHH]
Generated description
MX-CHH is the ISO 3166-2 subdivision code assigned to the Mexican state of Chihuahua.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MX-CHH
Target entity description: MX-CHH is the ISO 3166-2 subdivision code assigned to the Mexican state of Chihuahua.
  • A. HMX-1
    HMX-1 is the United States Marine Corps helicopter squadron responsible for transporting the President and other VIPs, most famously operating the aircraft known as Marine One.
  • B. MHV
    MHV is the IATA airport code for Mojave Air and Space Port, a well-known aerospace testing and flight facility in Mojave, California.
  • C. MX chosen
    MX is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Mexico in international standards and systems.
  • D. BCCh
    BCCh is the acronym for the Central Bank of Chile, the country’s autonomous monetary authority responsible for maintaining price stability and financial system soundness.
  • E. MH
    MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
  • F. None of above.

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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5f1c9888190b2817138c6893cfe completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a618c248190ab1bcecba04d3da8 completed March 3, 2026, 2:41 a.m.
NEDg Description generation batch_69a64b4c8bb88190aa413a4bed256129 completed March 3, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69a64beaafa0819099b02cca0f6c79b7 completed March 3, 2026, 2:48 a.m.
Created at: March 1, 2026, 7:37 p.m.