Triple

T31843622
Position Surface form Disambiguated ID Type / Status
Subject Dinas Maelor E812873 entity
Predicate partOf P40 FINISHED
Object the hill known as Pen Dinas
The hill known as Pen Dinas is a prominent Iron Age hillfort site near Aberystwyth in Ceredigion, Wales, noted for its extensive earthworks and archaeological significance.
E1979807 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: the hill known as Pen Dinas | Statement: [Dinas Maelor, partOf, the hill known as Pen Dinas]
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: the hill known as Pen Dinas
Triple: [Dinas Maelor, partOf, the hill known as Pen Dinas]
Generated description
The hill known as Pen Dinas is a prominent Iron Age hillfort site near Aberystwyth in Ceredigion, Wales, noted for its extensive earthworks and archaeological significance.

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_69f348eb327881909b4584b925742f6e completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6b034bc74819091250f91ba5174c0 completed May 3, 2026, 2:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e65af59d8819085af3ed7782dabf2 completed June 14, 2026, 8:26 a.m.
NEDg Description generation batch_6a2e66d85dc481908d7a51e1b0747601 completed June 14, 2026, 8:31 a.m.
NED2 Entity disambiguation (via description) batch_6a2e678bedb48190b9f7728aa5606420 completed June 14, 2026, 8:34 a.m.
Created at: April 30, 2026, 11:50 p.m.