Triple

T1942514
Position Surface form Disambiguated ID Type / Status
Subject Arica E41586 entity
Predicate near P350 FINISHED
Object Tacna
Tacna is a southern Peruvian city near the Chilean border, known for its role in the War of the Pacific and its status as a commercial and cultural hub.
E220880 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: Tacna | Statement: [Arica, near, Tacna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tacna
Context triple: [Arica, near, Tacna]
  • A. Yumbel
    Yumbel is a small Chilean city known for its religious festivities and agricultural surroundings in the Biobío Region.
  • B. Chiguayante
    Chiguayante is a Chilean city located near Concepción, known as part of the Greater Concepción metropolitan area in the south-central part of the country.
  • C. Pitalito
    Pitalito is a major town and coffee-producing hub in southern Colombia, known as one of the country’s most important centers for high-quality coffee.
  • D. Aukan
    Aukan is an English name for the Ndyuka language spoken by the Ndyuka Maroon people of Suriname and French Guiana.
  • E. Jaqaru
    Jaqaru is an indigenous Aymaran language spoken in the highlands of Peru, known for its complex phonology and close relationship to the Kawki variety.
  • 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: Tacna
Triple: [Arica, near, Tacna]
Generated description
Tacna is a southern Peruvian city near the Chilean border, known for its role in the War of the Pacific and its status as a commercial and cultural hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tacna
Target entity description: Tacna is a southern Peruvian city near the Chilean border, known for its role in the War of the Pacific and its status as a commercial and cultural hub.
  • A. Yumbel
    Yumbel is a small Chilean city known for its religious festivities and agricultural surroundings in the Biobío Region.
  • B. Chiguayante
    Chiguayante is a Chilean city located near Concepción, known as part of the Greater Concepción metropolitan area in the south-central part of the country.
  • C. Pitalito
    Pitalito is a major town and coffee-producing hub in southern Colombia, known as one of the country’s most important centers for high-quality coffee.
  • D. Aukan
    Aukan is an English name for the Ndyuka language spoken by the Ndyuka Maroon people of Suriname and French Guiana.
  • E. Jaqaru
    Jaqaru is an indigenous Aymaran language spoken in the highlands of Peru, known for its complex phonology and close relationship to the Kawki variety.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2fc98e881909a539c0ebf842d8b completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbb7616881908bfc82997538ca08 completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc2b6a0c8190a9129dc0a930d1b1 completed March 8, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69adfd3ecb7881909a6692bb58211c2e completed March 8, 2026, 10:50 p.m.
Created at: March 4, 2026, 7:36 p.m.