Triple
T14846434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aberlemno |
E349102
|
entity |
| Predicate | culturalContextOfStones |
P49072
|
FINISHED |
| Object | Pictish art |
—
|
LITERAL 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: Pictish art | Statement: [Aberlemno, culturalContextOfStones, Pictish art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: culturalContextOfStones Context triple: [Aberlemno, culturalContextOfStones, Pictish art]
-
A.
numberOfStoneCircles
Indicates the quantity of stone circles associated with or present in a given entity or context.
-
B.
culturalRemains
Indicates that one entity consists of or contains physical or material traces left by a culture, such as artifacts, structures, or other archaeological evidence.
-
C.
loreSignificance
Indicates that something holds notable importance, relevance, or impact within a fictional world’s backstory, mythology, or overarching narrative.
-
D.
materialCultureContext
chosen
Indicates the cultural, social, or historical setting in which a material object or artifact is produced, used, or interpreted.
-
E.
culturalContextOfWork
Indicates the cultural setting, traditions, or background within which a work was created, interpreted, or is meaningfully situated.
- F. None of above.
Provenance (3 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded29236dc8190b7d3a37d09f9fb21 |
completed | April 14, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:53 a.m.