Triple

T1157083
Position Surface form Disambiguated ID Type / Status
Subject Paraguay River E24406 entity
Predicate cityOnRiver P165 FINISHED
Object Concepción
Concepción is a city in northern Paraguay known as a regional commercial and river port hub.
 E241513 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: Concepción | Statement: [Paraguay River, cityOnRiver, Concepción]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Concepción
Context triple: [Paraguay River, cityOnRiver, Concepción]
  • A. Concepción
    Concepción was one of the ships in Ferdinand Magellan’s expedition that took part in the first circumnavigation of the globe.
  • B. Concepción
    Concepción is a major Chilean city in the south-central part of the country, known as an important industrial, commercial, and educational center.
  • C. Concepción
    Concepción is an active stratovolcano located on Ometepe Island in Lake Nicaragua, known for its symmetrical cone shape and frequent eruptions.
  • D. La Serena
    La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
  • E. San Miguel de Tucumán
    San Miguel de Tucumán is a historic city in northwest Argentina known as the birthplace of the country’s independence, where the 1816 declaration was signed.
  • 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: Concepción
Triple: [Paraguay River, cityOnRiver, Concepción]
Generated description
Concepción is a city in northern Paraguay known as a regional commercial and river port hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Concepción
Target entity description: Concepción is a city in northern Paraguay known as a regional commercial and river port hub.
  • A. Concepción
    Concepción is a major Chilean city in the south-central part of the country, known as an important industrial, commercial, and educational center.
  • B. Concepción
    Concepción was one of the ships in Ferdinand Magellan’s expedition that took part in the first circumnavigation of the globe.
  • C. Concepción
    Concepción is an active stratovolcano located on Ometepe Island in Lake Nicaragua, known for its symmetrical cone shape and frequent eruptions.
  • D. La Serena
    La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
  • E. San Miguel de Tucumán
    San Miguel de Tucumán is a historic city in northwest Argentina known as the birthplace of the country’s independence, where the 1816 declaration was signed.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bc92ae008190a587c12ecc9a502a completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d73c10c8190a059c3ae6b3a6279 completed March 9, 2026, 5:41 a.m.
NEDg Description generation batch_69ae5e027ea48190a052556d43c39f73 completed March 9, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ea4edcc81908829e4bd64ce0aea completed March 9, 2026, 5:46 a.m.
Created at: March 1, 2026, 7:44 p.m.