Triple

T32051357
Position Surface form Disambiguated ID Type / Status
Subject Archdiocese of Jaro E818500 entity
Predicate suffraganDiocese P17915 FINISHED
Object Diocese of Kalibo
The Diocese of Kalibo is a Roman Catholic ecclesiastical territory in the Philippines that serves the faithful in the province of Aklan under the Latin Church.
E2007114 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: Diocese of Kalibo | Statement: [Archdiocese of Jaro, suffraganDiocese, Diocese of Kalibo]
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: Diocese of Kalibo
Triple: [Archdiocese of Jaro, suffraganDiocese, Diocese of Kalibo]
Generated description
The Diocese of Kalibo is a Roman Catholic ecclesiastical territory in the Philippines that serves the faithful in the province of Aklan under the Latin Church.

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_69f348fcfb648190859f6be5e04b7cfe completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b4c9c30c81909653ee4e774e4824 completed May 3, 2026, 2:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34665a199481909267f54fa223b3be completed June 18, 2026, 9:42 p.m.
NEDg Description generation batch_6a34674302f081908ce094e58ee8360c completed June 18, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_6a34682ebe448190b88c760af0af9dfa completed June 18, 2026, 9:50 p.m.
Created at: May 1, 2026, 12:20 a.m.