Triple

T38395893
Position Surface form Disambiguated ID Type / Status
Subject Braulio E. Dujali E900760 entity
Predicate partOf P40 FINISHED
Object province of Davao del Norte
The province of Davao del Norte is a political and administrative region in the Davao Region of Mindanao in the Philippines, known for its agriculture, coastal areas, and growing urban centers.
E2280309 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: province of Davao del Norte | Statement: [Braulio E. Dujali, partOf, province of Davao del Norte]
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: province of Davao del Norte
Triple: [Braulio E. Dujali, partOf, province of Davao del Norte]
Generated description
The province of Davao del Norte is a political and administrative region in the Davao Region of Mindanao in the Philippines, known for its agriculture, coastal areas, and growing urban centers.

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_69f76e6071a081909eea7a670d21420c completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fccd3d8d18819092fc642e6b88a3b7 completed May 7, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41fd4510588190b207f70686b641f3 completed June 29, 2026, 5:06 a.m.
NEDg Description generation batch_6a41fe7dea008190bdba31dec4813e69 completed June 29, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_6a41ff38219081908809f9918423dd0b completed June 29, 2026, 5:14 a.m.
Created at: May 3, 2026, 4:31 p.m.