Triple

T34416076
Position Surface form Disambiguated ID Type / Status
Subject Prince of Gwynedd E883405 entity
Predicate notableHolder P1918 FINISHED
Object Dafydd ap Llywelyn
Dafydd ap Llywelyn was a 13th-century Welsh prince who ruled Gwynedd and briefly held the title Prince of Wales, continuing the legacy of his father Llywelyn the Great.
E2110873 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: Dafydd ap Llywelyn | Statement: [Prince of Gwynedd, notableHolder, Dafydd ap Llywelyn]
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: Dafydd ap Llywelyn
Triple: [Prince of Gwynedd, notableHolder, Dafydd ap Llywelyn]
Generated description
Dafydd ap Llywelyn was a 13th-century Welsh prince who ruled Gwynedd and briefly held the title Prince of Wales, continuing the legacy of his father Llywelyn the Great.

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_69f349c2e3b88190a67834eb5bcffeaf completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f718d696e4819097d621f11c69f93b completed May 3, 2026, 9:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37661438f081908114bed19686aa02 completed June 21, 2026, 4:18 a.m.
NEDg Description generation batch_6a3766f524688190be65bf7dc6178d47 completed June 21, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_6a37675932b88190a5d511cca6a31d48 completed June 21, 2026, 4:23 a.m.
Created at: May 1, 2026, 1:59 a.m.