Triple

T15773250
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Finance of Poland E382416 entity
Predicate shortName P43 FINISHED
Object MF
MF is the commonly used abbreviation for Poland’s Ministry of Finance, the government body responsible for the country’s fiscal and economic policy.
 E1175362 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: MF | Statement: [Ministry of Finance of Poland, shortName, MF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MF
Context triple: [Ministry of Finance of Poland, shortName, MF]
  • A. MF
    MF is the two-letter ISO 3166-1 alpha-2 country code assigned to the French overseas collectivity of Saint Martin.
  • B. MF
    MF is the two-letter IATA airline designator assigned to XiamenAir, a major Chinese carrier based in Xiamen.
  • C. MIF
    MIF is a fund within the Inter-American Development Bank Group that supports private sector development and inclusive economic growth in Latin America and the Caribbean.
  • D. MJ
    MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
  • E. MJ
    MJ is a reimagined version of the Mary Jane Watson character who appears as Peter Parker’s sharp, observant classmate and love interest in the Marvel Cinematic Universe Spider-Man films.
  • 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: MF
Triple: [Ministry of Finance of Poland, shortName, MF]
Generated description
MF is the commonly used abbreviation for Poland’s Ministry of Finance, the government body responsible for the country’s fiscal and economic policy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MF
Target entity description: MF is the commonly used abbreviation for Poland’s Ministry of Finance, the government body responsible for the country’s fiscal and economic policy.
  • A. MF
    MF is the two-letter IATA airline designator assigned to XiamenAir, a major Chinese carrier based in Xiamen.
  • B. MF
    MF is the two-letter ISO 3166-1 alpha-2 country code assigned to the French overseas collectivity of Saint Martin.
  • C. MIF
    MIF is a fund within the Inter-American Development Bank Group that supports private sector development and inclusive economic growth in Latin America and the Caribbean.
  • D. MJ
    MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
  • E. MJ
    MJ is a reimagined version of the Mary Jane Watson character who appears as Peter Parker’s sharp, observant classmate and love interest in the Marvel Cinematic Universe Spider-Man films.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e051976d248190adddd3db9f758e22 completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff877c5ae88190aeb500bb5f0d73f7 completed May 9, 2026, 7:14 p.m.
NEDg Description generation batch_69ff885d33708190adb157afa7dc2e07 completed May 9, 2026, 7:17 p.m.
NED2 Entity disambiguation (via description) batch_69ff8948cc68819085c3953226236394 completed May 9, 2026, 7:21 p.m.
Created at: April 10, 2026, 4:47 a.m.