Triple

T18455709
Position Surface form Disambiguated ID Type / Status
Subject Frente de Todos E450897 entity
Predicate memberParty P6048 FINISHED
Object Kolina
Kolina is an Argentine political party aligned with the Peronist movement and associated with the broader Frente de Todos coalition.
 E1326131 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: Kolina | Statement: [Frente de Todos, memberParty, Kolina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kolina
Context triple: [Frente de Todos, memberParty, Kolina]
  • A. Lučina
    Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
  • B. Kolinec
    Kolinec is a small market town in the Plzeň Region of the Czech Republic, known for its historic architecture and rural setting in the Bohemian countryside.
  • C. Dobruška
    Dobruška is a small historic town in the Hradec Králové Region of the Czech Republic, known for its preserved architecture and regional cultural heritage.
  • D. Blšanka
    Blšanka is a small river in the Czech Republic that flows through the Ústí nad Labem and Karlovy Vary regions before joining the Ohře River.
  • E. Moglina
    Moglina is a Slavic-origin surname, most notably borne by individuals such as Nina Moglina.
  • 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: Kolina
Triple: [Frente de Todos, memberParty, Kolina]
Generated description
Kolina is an Argentine political party aligned with the Peronist movement and associated with the broader Frente de Todos coalition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kolina
Target entity description: Kolina is an Argentine political party aligned with the Peronist movement and associated with the broader Frente de Todos coalition.
  • A. Lučina
    Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
  • B. Kolinec
    Kolinec is a small market town in the Plzeň Region of the Czech Republic, known for its historic architecture and rural setting in the Bohemian countryside.
  • C. Dobruška
    Dobruška is a small historic town in the Hradec Králové Region of the Czech Republic, known for its preserved architecture and regional cultural heritage.
  • D. Blšanka
    Blšanka is a small river in the Czech Republic that flows through the Ústí nad Labem and Karlovy Vary regions before joining the Ohře River.
  • E. Moglina
    Moglina is a Slavic-origin surname, most notably borne by individuals such as Nina Moglina.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264c10408190b2085ade88655c7d completed April 19, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a043f20eb288190820e7be96bbbc416 completed May 13, 2026, 9:06 a.m.
NEDg Description generation batch_6a043fc897408190ac2f6625ce23c93d completed May 13, 2026, 9:09 a.m.
NED2 Entity disambiguation (via description) batch_6a044095d4b48190aeb30ecb37609da3 completed May 13, 2026, 9:12 a.m.
Created at: April 10, 2026, 11:31 a.m.