Triple

T27309992
Position Surface form Disambiguated ID Type / Status
Subject Blanca Canales E689176 entity
Predicate birthPlace P1 FINISHED
Object Jayuya, Puerto Rico
Jayuya, Puerto Rico is a mountainous municipality in the island’s central region, known for its rich Taíno heritage and as the hometown of nationalist leader Blanca Canales.
E1870302 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: Jayuya, Puerto Rico | Statement: [Blanca Canales, birthPlace, Jayuya, Puerto Rico]
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: Jayuya, Puerto Rico
Triple: [Blanca Canales, birthPlace, Jayuya, Puerto Rico]
Generated description
Jayuya, Puerto Rico is a mountainous municipality in the island’s central region, known for its rich Taíno heritage and as the hometown of nationalist leader Blanca Canales.

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_69ef355b931c8190a63cafaf7bcc008b completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f627b24dd48190a6192153354240ca completed May 2, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25f0e307e88190a11761a5f81a627d completed June 7, 2026, 10:29 p.m.
NEDg Description generation batch_6a25f67f6bc88190af7c53158288e611 completed June 7, 2026, 10:53 p.m.
NED2 Entity disambiguation (via description) batch_6a25fab29d588190a93a4b1043036423 completed June 7, 2026, 11:11 p.m.
Created at: April 27, 2026, 11:27 a.m.