Triple

T9827756
Position Surface form Disambiguated ID Type / Status
Subject Flag of Monaco E238699 entity
Predicate ISO3166CountryCode P19525 FINISHED
Object MC
MC is the two-letter ISO 3166 country code for Monaco, the small sovereign city-state on the French Riviera known for its wealth, casinos, and the Monte Carlo district.
 E823045 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: MC | Statement: [Flag of Monaco, ISO3166CountryCode, MC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MC
Context triple: [Flag of Monaco, ISO3166CountryCode, MC]
  • A. MC
    MC is the postnominal abbreviation used to denote recipients of the Military Cross, a British military decoration awarded for gallantry during active operations against the enemy.
  • B. MC
    MC is a hip-hop master of ceremonies responsible for rapping, hosting, and energizing a crowd during performances or events.
  • C. MC
    MC is the commonly used abbreviation for Middlesex College, a public community college located in New Jersey.
  • D. MC
    MC is the Italian vehicle registration code assigned to the province of Macerata in the Marche region.
  • E. MC
    MC is the official abbreviation for NATO’s highest military authority, the NATO Military Committee.
  • 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: MC
Triple: [Flag of Monaco, ISO3166CountryCode, MC]
Generated description
MC is the two-letter ISO 3166 country code for Monaco, the small sovereign city-state on the French Riviera known for its wealth, casinos, and the Monte Carlo district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MC
Target entity description: MC is the two-letter ISO 3166 country code for Monaco, the small sovereign city-state on the French Riviera known for its wealth, casinos, and the Monte Carlo district.
  • A. MC
    MC is the official abbreviation for NATO’s highest military authority, the NATO Military Committee.
  • B. MC
    MC is the postnominal abbreviation used to denote recipients of the Military Cross, a British military decoration awarded for gallantry during active operations against the enemy.
  • C. MC
    MC is a hip-hop master of ceremonies responsible for rapping, hosting, and energizing a crowd during performances or events.
  • D. MC
    MC is the commonly used abbreviation for Middlesex College, a public community college located in New Jersey.
  • E. MC
    MC is the Italian vehicle registration code assigned to the province of Macerata in the Marche region.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb324e7848190b9424a78ca653afe completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc88a86c819088f259a049eec4db completed April 5, 2026, 2:44 a.m.
NEDg Description generation batch_69d1cdba64d08190bf0b83d419c4461b completed April 5, 2026, 2:49 a.m.
NED2 Entity disambiguation (via description) batch_69d1ce526a2c819098b103ad83c19445 completed April 5, 2026, 2:52 a.m.
Created at: March 30, 2026, 8:32 p.m.