Triple

T32206985
Position Surface form Disambiguated ID Type / Status
Subject British ambassador to Portugal E822697 entity
Predicate responsibleFor P636 FINISHED
Object UK–Portugal relations
UK–Portugal relations are the longstanding diplomatic, political, economic, and cultural ties between the United Kingdom and Portugal, rooted in one of the world’s oldest continuous alliances.
 E1996717 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: UK–Portugal relations | Statement: [British ambassador to Portugal, responsibleFor, UK–Portugal relations]
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: UK–Portugal relations
Triple: [British ambassador to Portugal, responsibleFor, UK–Portugal relations]
Generated description
UK–Portugal relations are the longstanding diplomatic, political, economic, and cultural ties between the United Kingdom and Portugal, rooted in one of the world’s oldest continuous alliances.

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_69f349093174819086e633c190a51aa8 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bb8ac984819098e2660c02662deb completed May 3, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f3b9639b88190815b70d0944347d7 completed June 14, 2026, 11:39 p.m.
NEDg Description generation batch_6a2f3c84247081909162fdf9b9196d1b completed June 14, 2026, 11:43 p.m.
NED2 Entity disambiguation (via description) batch_6a2f3ece580081909ccc97a87984e251 completed June 14, 2026, 11:52 p.m.
Created at: May 1, 2026, 12:36 a.m.