Triple
T23307970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velathri |
E590501
|
entity |
| Predicate | hasNotableArtifactType |
P40733
|
FINISHED |
| Object | Etruscan funerary urns |
—
|
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: Etruscan funerary urns | Statement: [Velathri, hasNotableArtifactType, Etruscan funerary urns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableArtifactType Context triple: [Velathri, hasNotableArtifactType, Etruscan funerary urns]
-
A.
hasNotableType
Indicates that an entity is associated with a specific notable category or type that characterizes its significance or role.
-
B.
hasSignificantArtifact
Indicates that an entity possesses or is associated with an artifact that is of notable importance, influence, or relevance within a given context.
-
C.
hasNotableItem
Indicates that an entity possesses, contains, or is associated with an item considered notable or significant in some context.
-
D.
hasTypeOfArtifact
chosen
Indicates that one entity is classified as, or belongs to, a particular type or category of artifact in relation to another entity.
-
E.
hasCharacteristicArtifact
Indicates that an entity is associated with a specific artifact that characterizes, exemplifies, or is typical of it.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197292fd08190bc364e1433dde213 |
completed | April 29, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 5:05 p.m.