Triple

T5033747
Position Surface form Disambiguated ID Type / Status
Subject Pilcomayo River E113369 entity
Predicate majorCityOnRiver P316 FINISHED
Object Villamontes
Villamontes is a town in southeastern Bolivia known as a regional center in the Gran Chaco area and a key crossing point near the border with Paraguay.
 E487921 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: Villamontes | Statement: [Pilcomayo River, majorCityOnRiver, Villamontes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Villamontes
Context triple: [Pilcomayo River, majorCityOnRiver, Villamontes]
  • A. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • B. Yoncalla
    Yoncalla is a Native American language historically spoken by a subgroup of the Kalapuya people in what is now western Oregon.
  • C. Rinconada
    Rinconada is a Bikol language variety spoken in the Bicol Region of the Philippines, particularly around the Rinconada district of Camarines Sur.
  • D. Moncalvo
    Moncalvo is a small historic town in Italy’s Piedmont region, known as one of the country’s smallest cities and for its wine and truffle production.
  • E. Varela
    Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
  • 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: Villamontes
Triple: [Pilcomayo River, majorCityOnRiver, Villamontes]
Generated description
Villamontes is a town in southeastern Bolivia known as a regional center in the Gran Chaco area and a key crossing point near the border with Paraguay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Villamontes
Target entity description: Villamontes is a town in southeastern Bolivia known as a regional center in the Gran Chaco area and a key crossing point near the border with Paraguay.
  • A. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • B. Yoncalla
    Yoncalla is a Native American language historically spoken by a subgroup of the Kalapuya people in what is now western Oregon.
  • C. Rinconada
    Rinconada is a Bikol language variety spoken in the Bicol Region of the Philippines, particularly around the Rinconada district of Camarines Sur.
  • D. Moncalvo
    Moncalvo is a small historic town in Italy’s Piedmont region, known as one of the country’s smallest cities and for its wine and truffle production.
  • E. Varela
    Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
  • 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73b68d8c8190b8e04fb406abdb0f completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c71b2f081908c5c4c1d9ba1ccf4 completed March 21, 2026, 1:26 p.m.
NEDg Description generation batch_69be9d5e703c8190bd2324081d052ca1 completed March 21, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_69be9dc96d9c819093b2f3706b40e323 completed March 21, 2026, 1:31 p.m.
Created at: March 20, 2026, 1:36 p.m.