Triple
T6927987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maeshowe |
E160359
|
entity |
| Predicate | hasGraffiti |
P48945
|
FINISHED |
| Object | Viking runes |
—
|
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: Viking runes | Statement: [Maeshowe, hasGraffiti, Viking runes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGraffiti Context triple: [Maeshowe, hasGraffiti, Viking runes]
-
A.
hasStreetArtStyle
Indicates that something exhibits characteristics or aesthetics associated with a particular style of street art.
-
B.
hasSpray
Indicates that one entity possesses, contains, or is equipped with a spray or spraying capability in relation to another entity or context.
-
C.
streetArt
Indicates that an entity creates, displays, or is associated with artistic works placed in public urban spaces, typically on streets or buildings.
-
D.
hasCarvings
chosen
Indicates that one entity features or contains carved designs or engravings on its surface, created by another entity or process.
-
E.
hasTattoo
Indicates that one entity bears a tattoo on their body.
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da1bf2088190a8ccfa01d9a1efc5 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bb577c81908ee8b415b4281f3d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:27 p.m.