Triple

T3482015
Position Surface form Disambiguated ID Type / Status
Subject Navarre E73512 entity
Predicate hasMainRiver P165 FINISHED
Object Irati
Irati is a river in northern Spain known for flowing through the Pyrenean landscapes of Navarre and its surrounding beech–fir forests.
 E360834 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: Irati | Statement: [Navarre, hasMainRiver, Irati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Irati
Context triple: [Navarre, hasMainRiver, Irati]
  • A. Ijuí
    Ijuí is a city in the state of Rio Grande do Sul, Brazil, known for its strong German-Brazilian cultural heritage and diverse immigrant influences.
  • B. Neiva
    Neiva is a major city in southwestern Colombia known as the economic and cultural center of the upper Magdalena River valley.
  • C. Larino
    Larino is a historic town in the Molise region of southern Italy, known for its Roman amphitheater, medieval architecture, and traditional festivals.
  • D. Santena
    Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
  • E. Wargandí
    Wargandí is an indigenous comarca (autonomous territory) in eastern Panama inhabited primarily by the Guna (Kuna) people.
  • 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: Irati
Triple: [Navarre, hasMainRiver, Irati]
Generated description
Irati is a river in northern Spain known for flowing through the Pyrenean landscapes of Navarre and its surrounding beech–fir forests.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Irati
Target entity description: Irati is a river in northern Spain known for flowing through the Pyrenean landscapes of Navarre and its surrounding beech–fir forests.
  • A. Ijuí
    Ijuí is a city in the state of Rio Grande do Sul, Brazil, known for its strong German-Brazilian cultural heritage and diverse immigrant influences.
  • B. Neiva
    Neiva is a major city in southwestern Colombia known as the economic and cultural center of the upper Magdalena River valley.
  • C. Larino
    Larino is a historic town in the Molise region of southern Italy, known for its Roman amphitheater, medieval architecture, and traditional festivals.
  • D. Santena
    Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
  • E. Wargandí
    Wargandí is an indigenous comarca (autonomous territory) in eastern Panama inhabited primarily by the Guna (Kuna) people.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb76b5188190bf8f8a3f646a7184 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681e88d881908a2eeb93aa56d889 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b368a242448190ac61e806b42a0cf3 completed March 13, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_69b3693bc26c819093ba7f9757ba0665 completed March 13, 2026, 1:32 a.m.
Created at: March 8, 2026, 3:17 p.m.