Triple

T8184293
Position Surface form Disambiguated ID Type / Status
Subject Central Argentina E191143 entity
Predicate hasMajorCity P316 FINISHED
Object Rafaela
Rafaela is a major city in central Argentina known for its agricultural industry and role as a regional economic center.
 E723872 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: Rafaela | Statement: [Central Argentina, hasMajorCity, Rafaela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rafaela
Context triple: [Central Argentina, hasMajorCity, Rafaela]
  • A. Paola
    Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
  • B. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • C. Adriana
    Adriana is the given first name of Adrian Balboa, the fictional wife of boxer Rocky Balboa in the "Rocky" film series.
  • D. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • E. Romina
    Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
  • 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: Rafaela
Triple: [Central Argentina, hasMajorCity, Rafaela]
Generated description
Rafaela is a major city in central Argentina known for its agricultural industry and role as a regional economic center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rafaela
Target entity description: Rafaela is a major city in central Argentina known for its agricultural industry and role as a regional economic center.
  • A. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • B. Paola
    Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
  • C. Adriana
    Adriana is the given first name of Adrian Balboa, the fictional wife of boxer Rocky Balboa in the "Rocky" film series.
  • D. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • E. Romina
    Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c507f248190b599b4a629b7518a completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd67c5853c8190843e7520f3be73b2 completed April 1, 2026, 6:45 p.m.
NEDg Description generation batch_69cd6c1f75748190b119acd0d92f2ef9 completed April 1, 2026, 7:03 p.m.
NED2 Entity disambiguation (via description) batch_69cd7dd65fac8190b8f44b1cf2be7bdd completed April 1, 2026, 8:19 p.m.
Created at: March 30, 2026, 5:41 p.m.