Triple

T3266258
Position Surface form Disambiguated ID Type / Status
Subject Lithuanian–Belorussian Soviet Socialist Republic E68534 entity
Predicate shortName P43 FINISHED
Object Lit-Bel
Lit-Bel was a short-lived Soviet republic established in 1919 that united parts of present-day Lithuania and Belarus under a single socialist government.
E341798 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: Lit-Bel | Statement: [Lithuanian–Belorussian Soviet Socialist Republic, shortName, Lit-Bel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lit-Bel
Context triple: [Lithuanian–Belorussian Soviet Socialist Republic, shortName, Lit-Bel]
  • A. Leer
    Leer is a historic town in northwestern Germany known for its maritime heritage and traditional East Frisian culture.
  • B. Birkerts
    Birkerts is a Latvian-origin surname notably associated with architect Gunnar Birkerts and other prominent figures in arts and letters.
  • C. Nerekhta
    Nerekhta is a historic Russian town known for its well-preserved traditional architecture and cultural heritage within Kostroma Oblast.
  • D. Litovel
    Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
  • E. Liber
    Liber is an ancient Roman god associated with viticulture, fertility, and freedom, often identified with the Greek god Dionysus.
  • 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: Lit-Bel
Triple: [Lithuanian–Belorussian Soviet Socialist Republic, shortName, Lit-Bel]
Generated description
Lit-Bel was a short-lived Soviet republic established in 1919 that united parts of present-day Lithuania and Belarus under a single socialist government.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lit-Bel
Target entity description: Lit-Bel was a short-lived Soviet republic established in 1919 that united parts of present-day Lithuania and Belarus under a single socialist government.
  • A. Leer
    Leer is a historic town in northwestern Germany known for its maritime heritage and traditional East Frisian culture.
  • B. Birkerts
    Birkerts is a Latvian-origin surname notably associated with architect Gunnar Birkerts and other prominent figures in arts and letters.
  • C. Nerekhta
    Nerekhta is a historic Russian town known for its well-preserved traditional architecture and cultural heritage within Kostroma Oblast.
  • D. Litovel
    Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
  • E. Liber
    Liber is an ancient Roman god associated with viticulture, fertility, and freedom, often identified with the Greek god Dionysus.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafcc99908190897230b4b71e2ea8 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28eed68c08190994376bfbfeae949 completed March 12, 2026, 10:01 a.m.
NEDg Description generation batch_69b2900805d08190afbda5ee5e984b71 completed March 12, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69b2ac4c52d48190a87b1e535c2e8a37 completed March 12, 2026, 12:06 p.m.
Created at: March 8, 2026, 3:09 p.m.