Triple
T31977919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasiliki |
E816496
|
entity |
| Predicate | associatedPotteryType |
P90740
|
FINISHED |
| Object | Vasiliki ware |
E816496
|
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: Vasiliki ware | Statement: [Vasiliki, associatedPotteryType, Vasiliki ware]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedPotteryType Context triple: [Vasiliki, associatedPotteryType, Vasiliki ware]
-
A.
hasPotteryType
chosen
Indicates that an entity is associated with or characterized by a specific type or category of pottery.
-
B.
hasTypeOfPottery
Indicates that an entity is associated with or characterized by a specific type or category of pottery.
-
C.
hasPotteryDecoration
Indicates that an object or artifact bears a specific type or style of decorative treatment applied to its pottery surface.
-
D.
ceramicsRecognizedBy
Indicates that certain ceramics are acknowledged, identified, or formally recognized by a particular agent, authority, or system.
-
E.
potteryColor
Indicates the color attribute associated with a piece of pottery.
- F. None of above.
Provenance (4 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_69f348f6a3008190bfb59ca695fd68e2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2eb14ef2648190a15c1ad9a32dad2a |
completed | June 14, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:11 a.m.