Triple

T37241884
Position Surface form Disambiguated ID Type / Status
Subject Count of Urgell E923731 entity
Predicate notableHolder P1918 FINISHED
Object Ermengol VIII of Urgell
Ermengol VIII of Urgell was a 12th-century Catalan nobleman who ruled the County of Urgell and played a role in the regional politics of medieval northeastern Iberia.
E2236728 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: Ermengol VIII of Urgell | Statement: [Count of Urgell, notableHolder, Ermengol VIII of Urgell]
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: Ermengol VIII of Urgell
Triple: [Count of Urgell, notableHolder, Ermengol VIII of Urgell]
Generated description
Ermengol VIII of Urgell was a 12th-century Catalan nobleman who ruled the County of Urgell and played a role in the regional politics of medieval northeastern Iberia.

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_69f76ea9fee88190a589f661d95a7189 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb36f8a5e081908bfb4df87d205f3d completed May 6, 2026, 12:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40ba349d40819091f07cd65fa548d3 completed June 28, 2026, 6:07 a.m.
NEDg Description generation batch_6a40bad6af3c81909af6b14a906f9f40 completed June 28, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_6a40bb2dad9c81908f42307856e12ec9 completed June 28, 2026, 6:11 a.m.
Created at: May 3, 2026, 4:15 p.m.