Triple
T2617527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Caprichos |
E58925
|
entity |
| Predicate | plateNumberOf |
P42234
|
FINISHED |
| Object | 43 |
—
|
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: 43 | Statement: [Los Caprichos, plateNumberOf, 43]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plateNumberOf Context triple: [Los Caprichos, plateNumberOf, 43]
-
A.
plateType
Indicates the specific category or style of plate associated with an item or context.
-
B.
numberOfPlates
Indicates the quantity of plates associated with or involved in a particular entity, event, or context.
-
C.
pillarNumber
Indicates the specific numerical identifier assigned to a particular pillar within a set or structure.
-
D.
hasNumberOfPins
Indicates that an entity is associated with a specific count of pins it possesses or uses.
-
E.
frontNumbering
Indicates that an entity is assigned a numbering or label that appears at the front or beginning of something (e.g., a sequence, document, or list).
- F. None of above. chosen
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_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdaca581881908fe8d3d820f839b7 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd80f48888190afdf7e3e042157d0 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abdac82b688190886a6ec2d6e2abc7 |
completed | March 7, 2026, 7:59 a.m. |
Created at: March 6, 2026, 9:50 p.m.