Triple

T38373478
Position Surface form Disambiguated ID Type / Status
Subject SINAC E893552 entity
Predicate fullNameInEnglish P3437 FINISHED
Object National System of Conservation Areas
The National System of Conservation Areas (SINAC) is Costa Rica’s national agency responsible for managing and protecting the country’s protected areas, biodiversity, and natural resources.
E2267758 NE FINISHED

How this triple was built (2 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: National System of Conservation Areas | Statement: [SINAC, fullNameInEnglish, National System of Conservation Areas]
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: National System of Conservation Areas
Triple: [SINAC, fullNameInEnglish, National System of Conservation Areas]
Generated description
The National System of Conservation Areas (SINAC) is Costa Rica’s national agency responsible for managing and protecting the country’s protected areas, biodiversity, and natural resources.

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_69f76e4b1f748190a380696a16eae4a2 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fcccf9342c81909217ffc2b79e0e30 completed May 7, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41b29efb888190adf4a1e38c784072 completed June 28, 2026, 11:47 p.m.
NEDg Description generation batch_6a41b3fbfcc88190ae07b7f0b578aa30 completed June 28, 2026, 11:53 p.m.
NED2 Entity disambiguation (via description) batch_6a41b4aff75081909d0946a1c0992447 completed June 28, 2026, 11:56 p.m.
Created at: May 3, 2026, 4:31 p.m.