Triple

T4254625
Position Surface form Disambiguated ID Type / Status
Subject San Cristóbal E95942 entity
Predicate nearCity P350 FINISHED
Object Chinandega
Chinandega is a city in northwestern Nicaragua known as a commercial and agricultural hub near the country’s highest volcanoes.
 E424376 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: Chinandega | Statement: [San Cristóbal, nearCity, Chinandega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chinandega
Context triple: [San Cristóbal, nearCity, Chinandega]
  • A. Huambisa
    Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
  • B. Caxangá
    Caxangá is a neighborhood and important urban area within the city of Recife, Brazil.
  • C. El Chal
    El Chal is a municipality and town located in Guatemala's northern Petén region, known for its rural communities and proximity to Maya archaeological areas.
  • D. Combarbalá
    Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
  • E. Gachancipá
    Gachancipá is a municipality in the Cundinamarca Department of Colombia, located in the central highlands near Bogotá.
  • 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: Chinandega
Triple: [San Cristóbal, nearCity, Chinandega]
Generated description
Chinandega is a city in northwestern Nicaragua known as a commercial and agricultural hub near the country’s highest volcanoes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chinandega
Target entity description: Chinandega is a city in northwestern Nicaragua known as a commercial and agricultural hub near the country’s highest volcanoes.
  • A. Huambisa
    Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
  • B. Caxangá
    Caxangá is a neighborhood and important urban area within the city of Recife, Brazil.
  • C. El Chal
    El Chal is a municipality and town located in Guatemala's northern Petén region, known for its rural communities and proximity to Maya archaeological areas.
  • D. Combarbalá
    Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
  • E. Gachancipá
    Gachancipá is a municipality in the Cundinamarca Department of Colombia, located in the central highlands near Bogotá.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec036e8819087d8585170707545 completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a887703c81909a40f23f83154b8c completed March 14, 2026, 6:27 p.m.
NEDg Description generation batch_69b5a8ffd4508190b33117d3fc963b3d completed March 14, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69b5a9754d5c8190b1ab724a4758c22a completed March 14, 2026, 6:31 p.m.
Created at: March 12, 2026, 11:06 p.m.