Triple

T25098465
Position Surface form Disambiguated ID Type / Status
Subject Curridabat E628655 entity
Predicate hasMunicipality P847 FINISHED
Object Municipalidad de Curridabat
Municipalidad de Curridabat is the local government body responsible for administering public services, urban planning, and community development in the canton of Curridabat, Costa Rica.
E1661989 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: Municipalidad de Curridabat | Statement: [Curridabat, hasMunicipality, Municipalidad de Curridabat]
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: Municipalidad de Curridabat
Triple: [Curridabat, hasMunicipality, Municipalidad de Curridabat]
Generated description
Municipalidad de Curridabat is the local government body responsible for administering public services, urban planning, and community development in the canton of Curridabat, Costa Rica.

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_69e2ff3071548190b62d1ac237397197 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f464bb4a288190909cfe145f9cbaa5 completed May 1, 2026, 8:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1048edfc448190bf9061d0040cff6e completed May 22, 2026, 12:15 p.m.
NEDg Description generation batch_6a104a09687c819088fa6a920817bbb7 completed May 22, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a104a82de208190b720e5690a5094c0 completed May 22, 2026, 12:22 p.m.
Created at: April 18, 2026, 6:25 a.m.