Triple

T11123218
Position Surface form Disambiguated ID Type / Status
Subject Amazonía Ecuatoriana E263068 entity
Predicate includesProvince P11085 FINISHED
Object Morona Santiago
Morona Santiago is a largely rainforest-covered province in southeastern Ecuador known for its Amazonian biodiversity and significant Indigenous Shuar population.
 E906154 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: Morona Santiago | Statement: [Amazonía Ecuatoriana, includesProvince, Morona Santiago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morona Santiago
Context triple: [Amazonía Ecuatoriana, includesProvince, Morona Santiago]
  • A. Cajatambo
    Cajatambo is a small Andean town in central Peru known for its colonial-era architecture, highland landscapes, and traditional Quechua-influenced culture.
  • B. Caparrapí
    Caparrapí is a municipality in central Colombia known for its rural character and location within the Andean region of the Cundinamarca Department.
  • C. Atuntaqui
    Atuntaqui is a small city in northern Ecuador known for its textile industry and Andean cultural traditions.
  • D. Cumbe-Maita
    Cumbe-Maita is a locality or settlement that forms part of the administrative area known as Capitol L-244.
  • E. Antisana
    Antisana is a massive, glaciated stratovolcano in the Ecuadorian Andes, known for its high elevation and extensive ice cap.
  • 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: Morona Santiago
Triple: [Amazonía Ecuatoriana, includesProvince, Morona Santiago]
Generated description
Morona Santiago is a largely rainforest-covered province in southeastern Ecuador known for its Amazonian biodiversity and significant Indigenous Shuar population.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morona Santiago
Target entity description: Morona Santiago is a largely rainforest-covered province in southeastern Ecuador known for its Amazonian biodiversity and significant Indigenous Shuar population.
  • A. Cajatambo
    Cajatambo is a small Andean town in central Peru known for its colonial-era architecture, highland landscapes, and traditional Quechua-influenced culture.
  • B. Caparrapí
    Caparrapí is a municipality in central Colombia known for its rural character and location within the Andean region of the Cundinamarca Department.
  • C. Atuntaqui
    Atuntaqui is a small city in northern Ecuador known for its textile industry and Andean cultural traditions.
  • D. Cumbe-Maita
    Cumbe-Maita is a locality or settlement that forms part of the administrative area known as Capitol L-244.
  • E. Antisana
    Antisana is a massive, glaciated stratovolcano in the Ecuadorian Andes, known for its high elevation and extensive ice cap.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7e82e933481908550499cf9dd6531 completed April 9, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d8643748190a7801fc401dd2b5a completed April 19, 2026, 1:19 a.m.
NEDg Description generation batch_69e42f3eaa0c819095e5af20b910d979 completed April 19, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_69e43771eaec8190be9bb709723931e0 completed April 19, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:28 p.m.