Triple

T37862305
Position Surface form Disambiguated ID Type / Status
Subject Council of León of 1017 E944367 entity
Predicate hasParticipant P149 FINISHED
Object Leonese nobility
Leonese nobility were the hereditary aristocratic elite of the medieval Kingdom of León, holding land, military power, and political influence in the kingdom’s governance and society.
E2246414 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: Leonese nobility | Statement: [Council of León of 1017, hasParticipant, Leonese nobility]
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: Leonese nobility
Triple: [Council of León of 1017, hasParticipant, Leonese nobility]
Generated description
Leonese nobility were the hereditary aristocratic elite of the medieval Kingdom of León, holding land, military power, and political influence in the kingdom’s governance and society.

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_69f76eee2f9c8190b1272aa2ee55ebf5 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbb253a1948190be4b57be57a32bbb completed May 6, 2026, 9:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a410420146c8190b7968f256450cd91 completed June 28, 2026, 11:23 a.m.
NEDg Description generation batch_6a41049bdc7881908ffafe3ffbb24b99 completed June 28, 2026, 11:25 a.m.
NED2 Entity disambiguation (via description) batch_6a41059ef42c81909a94722a1563fcd1 completed June 28, 2026, 11:29 a.m.
Created at: May 3, 2026, 4:19 p.m.