Triple

T24775674
Position Surface form Disambiguated ID Type / Status
Subject House of Dinefwr E619853 entity
Predicate dynasticRival P37274 FINISHED
Object House of Mathrafal
The House of Mathrafal was a medieval Welsh royal dynasty that ruled the kingdom of Powys and played a central role in the politics of Wales before its conquest by England.
E1650620 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: House of Mathrafal | Statement: [House of Dinefwr, dynasticRival, House of Mathrafal]
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: House of Mathrafal
Triple: [House of Dinefwr, dynasticRival, House of Mathrafal]
Generated description
The House of Mathrafal was a medieval Welsh royal dynasty that ruled the kingdom of Powys and played a central role in the politics of Wales before its conquest by England.

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_69e2fabd04488190a2d13c97be745a2d completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f410d246ac8190b7c45f6682c16bfb completed May 1, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101c1ceba4819089fb250980bf2424 completed May 22, 2026, 9:04 a.m.
NEDg Description generation batch_6a10248751648190aabfa72ad8ab0b3f completed May 22, 2026, 9:40 a.m.
NED2 Entity disambiguation (via description) batch_6a10258f82b4819095231c1c9398b2c8 completed May 22, 2026, 9:44 a.m.
Created at: April 18, 2026, 4:34 a.m.