Triple

T1152222
Position Surface form Disambiguated ID Type / Status
Subject Liberal Democratic Party of Russia E23700 entity
Predicate shortName P43 FINISHED
Object LDPR
LDPR is a Russian nationalist and right-wing populist political party known for its controversial rhetoric and long-time leadership under Vladimir Zhirinovsky.
 E132374 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: LDPR | Statement: [Liberal Democratic Party of Russia, shortName, LDPR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LDPR
Context triple: [Liberal Democratic Party of Russia, shortName, LDPR]
  • A. LPFR
    LPFR is the ICAO airport code for Faro Airport, the main international gateway to Portugal’s Algarve region.
  • B. LDPB
    LDPB is a Belarusian political party known as the Liberal Democratic Party of Belarus.
  • C. KPRF
    KPRF is the commonly used abbreviation for the Communist Party of the Russian Federation, a major left-wing political party and principal successor to the Soviet-era Communist Party.
  • D. LDP
    LDP is a common abbreviation for the Liberal Democratic Party, a major political party name used in several countries, most prominently Japan.
  • E. LMRDA
    LMRDA is a U.S. federal law enacted in 1959 to regulate labor unions’ internal affairs, promote union democracy, and ensure financial transparency and accountability.
  • 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: LDPR
Triple: [Liberal Democratic Party of Russia, shortName, LDPR]
Generated description
LDPR is a Russian nationalist and right-wing populist political party known for its controversial rhetoric and long-time leadership under Vladimir Zhirinovsky.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LDPR
Target entity description: LDPR is a Russian nationalist and right-wing populist political party known for its controversial rhetoric and long-time leadership under Vladimir Zhirinovsky.
  • A. LPFR
    LPFR is the ICAO airport code for Faro Airport, the main international gateway to Portugal’s Algarve region.
  • B. LDPB
    LDPB is a Belarusian political party known as the Liberal Democratic Party of Belarus.
  • C. KPRF
    KPRF is the commonly used abbreviation for the Communist Party of the Russian Federation, a major left-wing political party and principal successor to the Soviet-era Communist Party.
  • D. LDP
    LDP is a common abbreviation for the Liberal Democratic Party, a major political party name used in several countries, most prominently Japan.
  • E. LMRDA
    LMRDA is a U.S. federal law enacted in 1959 to regulate labor unions’ internal affairs, promote union democracy, and ensure financial transparency and accountability.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc8d2dd8819081c779d408c2651d completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eb81790819087016b1620353417 completed March 7, 2026, 5:22 p.m.
NEDg Description generation batch_69ac612fee3881908abba96acf1b60ef completed March 7, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_69ac621c445081908bd3aa6f9c258caf completed March 7, 2026, 5:36 p.m.
Created at: March 1, 2026, 7:44 p.m.