Triple
T12683214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Rose |
E302997
|
entity |
| Predicate | artefactTypes |
P73006
|
FINISHED |
| Object | weapons |
—
|
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: weapons | Statement: [Mary Rose, artefactTypes, weapons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artefactTypes Context triple: [Mary Rose, artefactTypes, weapons]
-
A.
artifactType
chosen
Indicates the specific kind or category of artifact that an entity is classified as.
-
B.
featuresArtifactsFrom
Indicates that one entity includes, presents, or showcases artifacts that originate from or are associated with another entity.
-
C.
artworkType
Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
-
D.
hasTypeOfArtifact
Indicates that one entity is classified as, or belongs to, a particular type or category of artifact in relation to another entity.
-
E.
featuresArtifact
Indicates that one entity prominently includes, presents, or showcases another entity as an artifact.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d68358819095bdaab8adf1dcf0 |
completed | April 10, 2026, 8:47 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:21 p.m.