Triple

T36512022
Position Surface form Disambiguated ID Type / Status
Subject Puntarenas Canton E899932 entity
Predicate governedBy P46 FINISHED
Object municipal government of Puntarenas
The municipal government of Puntarenas is the local administrative authority responsible for public services, urban planning, and governance within Puntarenas Canton in Costa Rica.
E2187797 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: municipal government of Puntarenas | Statement: [Puntarenas Canton, governedBy, municipal government of Puntarenas]
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: municipal government of Puntarenas
Triple: [Puntarenas Canton, governedBy, municipal government of Puntarenas]
Generated description
The municipal government of Puntarenas is the local administrative authority responsible for public services, urban planning, and governance within Puntarenas Canton in 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_69f76e5dada881909da2d34bc7a9202a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c1ef9eb88190b8449853e3c68f0c completed May 3, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39dbd93324819089b71b0d5afd04ab completed June 23, 2026, 1:05 a.m.
NEDg Description generation batch_6a39dcad4370819093a89f7a64c1b4dc completed June 23, 2026, 1:09 a.m.
NED2 Entity disambiguation (via description) batch_6a39e1c8a4d48190b23a4a436f08893f completed June 23, 2026, 1:30 a.m.
Created at: May 3, 2026, 4:10 p.m.