Triple

T5552122
Position Surface form Disambiguated ID Type / Status
Subject Maynas Province E145550 entity
Predicate namedAfter P63 FINISHED
Object Maynas
Maynas was a historical region and indigenous group in the Amazon Basin, whose name was later used for the Maynas Province in Peru.
 E530875 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: Maynas | Statement: [Maynas Province, namedAfter, Maynas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maynas
Context triple: [Maynas Province, namedAfter, Maynas]
  • A. Atalaya
    Atalaya is a small Peruvian river port town in the Amazon rainforest, serving as a regional hub for transport and trade.
  • B. Marulanda
    Marulanda is a small municipality and town located in the Caldas Department of Colombia, known for its rural Andean landscapes and agricultural economy.
  • C. Mazunte
    Mazunte is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its sea turtle conservation center, eco-tourism, and scenic Pacific shoreline.
  • D. Mariquina
    Mariquina is a commune and town in southern Chile, located in the Los Ríos Region and known for its rural landscapes and Mapuche cultural presence.
  • E. Mirande
    Mirande is a small commune in southwestern France known for its traditional Gascon culture and annual country music festival.
  • 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: Maynas
Triple: [Maynas Province, namedAfter, Maynas]
Generated description
Maynas was a historical region and indigenous group in the Amazon Basin, whose name was later used for the Maynas Province in Peru.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maynas
Target entity description: Maynas was a historical region and indigenous group in the Amazon Basin, whose name was later used for the Maynas Province in Peru.
  • A. Atalaya
    Atalaya is a small Peruvian river port town in the Amazon rainforest, serving as a regional hub for transport and trade.
  • B. Marulanda
    Marulanda is a small municipality and town located in the Caldas Department of Colombia, known for its rural Andean landscapes and agricultural economy.
  • C. Mazunte
    Mazunte is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its sea turtle conservation center, eco-tourism, and scenic Pacific shoreline.
  • D. Mariquina
    Mariquina is a commune and town in southern Chile, located in the Los Ríos Region and known for its rural landscapes and Mapuche cultural presence.
  • E. Mirande
    Mirande is a small commune in southwestern France known for its traditional Gascon culture and annual country music festival.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ff872bc81908e14776f7ba4154e completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c028350bc08190a8b48893157b86a1 completed March 22, 2026, 5:34 p.m.
NEDg Description generation batch_69c037b5be3c819098c8500350267a1e completed March 22, 2026, 6:40 p.m.
NED2 Entity disambiguation (via description) batch_69c0393144248190a97d1f82b81cc868 completed March 22, 2026, 6:47 p.m.
Created at: March 22, 2026, 3:35 p.m.