Triple
T31591393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Library of Ferdinand Columbus |
E806105
|
entity |
| Predicate | approximateOriginalSize |
P10552
|
FINISHED |
| Object | 15000 volumes |
—
|
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: 15000 volumes | Statement: [Library of Ferdinand Columbus, approximateOriginalSize, 15000 volumes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateOriginalSize Context triple: [Library of Ferdinand Columbus, approximateOriginalSize, 15000 volumes]
-
A.
approximateSize
Indicates that one entity has a size that is roughly or approximately equal to the size of another entity.
-
B.
estimatedOriginalLength
Indicates the approximated or inferred length that something originally had before any changes, damage, or loss.
-
C.
originalResolution
Indicates the initial or native size or level of detail at which something (such as an image, video, or document) was first created or captured, before any scaling or modification.
-
D.
hasEstimatedOriginalVolume
chosen
Indicates that an entity is associated with an approximate or calculated value for its original volume.
-
E.
sizeAfterMiniaturization
Indicates the resulting size of an entity after it has undergone a miniaturization process.
- 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_69f348d4891c8190b02bae3c8ecb68b7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
Created at: April 30, 2026, 10:28 p.m.