Triple

T27797284
Position Surface form Disambiguated ID Type / Status
Subject Convergència Democràtica de Catalunya E702148 entity
Predicate leader P981 FINISHED
Object Oriol Pujol
Oriol Pujol is a Catalan politician known for his prominent role in regional politics and leadership within the center-right nationalist movement in Catalonia.
E1797809 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: Oriol Pujol | Statement: [Convergència Democràtica de Catalunya, leader, Oriol Pujol]
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: Oriol Pujol
Triple: [Convergència Democràtica de Catalunya, leader, Oriol Pujol]
Generated description
Oriol Pujol is a Catalan politician known for his prominent role in regional politics and leadership within the center-right nationalist movement in Catalonia.

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_69ef8408e0588190977cffa32dc33a29 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f6380c776c8190afe636c9e65301a0 completed May 2, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a13113c40f48190a1d213e00f832804 completed May 24, 2026, 2:54 p.m.
NEDg Description generation batch_6a1312211af88190ab84fc43b748a93e completed May 24, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_6a13148cc15c8190928bfe77917e4176 completed May 24, 2026, 3:09 p.m.
Created at: April 27, 2026, 5:32 p.m.