Triple

T19394287
Position Surface form Disambiguated ID Type / Status
Subject San Martín Department, Corrientes E485146 entity
Predicate hasTown P847 FINISHED
Object Guaviraví
Guaviraví is a small town located in the San Martín Department of Corrientes Province in northeastern Argentina.
E1373968 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: Guaviraví | Statement: [San Martín Department, Corrientes, hasTown, Guaviraví]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guaviraví
Context triple: [San Martín Department, Corrientes, hasTown, Guaviraví]
  • A. Guaro
    Guaro is a small locality within Cueto Municipality, likely a rural community in a Spanish-speaking region.
  • B. Bahuchivo
    Bahuchivo is a small town in Mexico’s Copper Canyon region that serves as a key access point for visitors traveling into Urique Canyon.
  • C. Guabirá
    Guabirá is a Bolivian professional football club that competes in the country's top-tier league.
  • D. Cacuaco
    Cacuaco is a coastal municipality and urban area in northern Angola that forms part of the greater Luanda metropolitan region.
  • E. Guayzimi
    Guayzimi is a small town in southeastern Ecuador that serves as an administrative and commercial center in the Amazonian region of Zamora-Chinchipe Province.
  • 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: Guaviraví
Triple: [San Martín Department, Corrientes, hasTown, Guaviraví]
Generated description
Guaviraví is a small town located in the San Martín Department of Corrientes Province in northeastern Argentina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Guaviraví
Target entity description: Guaviraví is a small town located in the San Martín Department of Corrientes Province in northeastern Argentina.
  • A. Guaro
    Guaro is a small locality within Cueto Municipality, likely a rural community in a Spanish-speaking region.
  • B. Bahuchivo
    Bahuchivo is a small town in Mexico’s Copper Canyon region that serves as a key access point for visitors traveling into Urique Canyon.
  • C. Guabirá
    Guabirá is a Bolivian professional football club that competes in the country's top-tier league.
  • D. Cacuaco
    Cacuaco is a coastal municipality and urban area in northern Angola that forms part of the greater Luanda metropolitan region.
  • E. Guayzimi
    Guayzimi is a small town in southeastern Ecuador that serves as an administrative and commercial center in the Amazonian region of Zamora-Chinchipe Province.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b47630881909ba390888b8779f6 completed April 20, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a072b8b87a881909b3651f98ab49cdb completed May 15, 2026, 2:19 p.m.
NEDg Description generation batch_6a072eb2d5b08190a0cafb1427cfd16d completed May 15, 2026, 2:33 p.m.
NED2 Entity disambiguation (via description) batch_6a072f6caef48190acb52960ebde9ace completed May 15, 2026, 2:36 p.m.
Created at: April 10, 2026, 1:36 p.m.