Triple

T1768886
Position Surface form Disambiguated ID Type / Status
Subject West Ukrainian People’s Republic E38827 entity
Predicate shortName P43 FINISHED
Object ZUNR
ZUNR was the Ukrainian-language abbreviation for the West Ukrainian People’s Republic, a short-lived Ukrainian state that existed in Eastern Galicia after World War I.
 E200092 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: ZUNR | Statement: [West Ukrainian People’s Republic, shortName, ZUNR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZUNR
Context triple: [West Ukrainian People’s Republic, shortName, ZUNR]
  • A. ZUE
    ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
  • B. UzK
    UzK is the commonly used abbreviation for the University of Cologne, one of Germany’s largest and oldest universities.
  • C. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • D. UZ
    UZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Uzbekistan.
  • E. Rikusentai
    Rikusentai were elite Japanese naval infantry units of the Imperial Japanese Navy that conducted amphibious assaults and ground combat operations before and during World War II.
  • 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: ZUNR
Triple: [West Ukrainian People’s Republic, shortName, ZUNR]
Generated description
ZUNR was the Ukrainian-language abbreviation for the West Ukrainian People’s Republic, a short-lived Ukrainian state that existed in Eastern Galicia after World War I.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZUNR
Target entity description: ZUNR was the Ukrainian-language abbreviation for the West Ukrainian People’s Republic, a short-lived Ukrainian state that existed in Eastern Galicia after World War I.
  • A. ZUE
    ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
  • B. UzK
    UzK is the commonly used abbreviation for the University of Cologne, one of Germany’s largest and oldest universities.
  • C. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • D. UZ
    UZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Uzbekistan.
  • E. Rikusentai
    Rikusentai were elite Japanese naval infantry units of the Imperial Japanese Navy that conducted amphibious assaults and ground combat operations before and during World War II.
  • 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa648d9f2c8190aca4884648a69eb0 completed March 6, 2026, 5:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada991564c81909ae00fdcb47f52af completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adab0295b8819092cb51082337b97b completed March 8, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69adaea83bfc8190a526d5f2bd460e4c completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:31 p.m.