Triple

T34826959
Position Surface form Disambiguated ID Type / Status
Subject Knocknarea E1003951 entity
Predicate hasSummitFeature P8666 FINISHED
Object Queen Maeve's Cairn
Queen Maeve's Cairn is a large prehistoric stone burial mound traditionally associated with the legendary Queen Medb, located atop Knocknarea in County Sligo, Ireland.
E2114435 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: Queen Maeve's Cairn | Statement: [Knocknarea, hasSummitFeature, Queen Maeve's Cairn]
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: Queen Maeve's Cairn
Triple: [Knocknarea, hasSummitFeature, Queen Maeve's Cairn]
Generated description
Queen Maeve's Cairn is a large prehistoric stone burial mound traditionally associated with the legendary Queen Medb, located atop Knocknarea in County Sligo, Ireland.

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_69f76db7d1b4819093bd4912d80d845d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78103d764819089b3389bf234d58f completed May 3, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37794a75fc81909b909cf6e3599039 completed June 21, 2026, 5:40 a.m.
NEDg Description generation batch_6a3779bf7c3881908b040541f78cd4a0 completed June 21, 2026, 5:42 a.m.
NED2 Entity disambiguation (via description) batch_6a377a2101608190b4e7c725785c5201 completed June 21, 2026, 5:44 a.m.
Created at: May 3, 2026, 4 p.m.