Triple
T4279451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BRIN |
E97114
|
entity |
| Predicate | indexSize |
P55183
|
FINISHED |
| Object | very small compared to B-tree |
—
|
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: very small compared to B-tree | Statement: [BRIN, indexSize, very small compared to B-tree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: indexSize Context triple: [BRIN, indexSize, very small compared to B-tree]
-
A.
indexType
Indicates the classification or category of an index associated with an entity or structure.
-
B.
indexStructure
Indicates that one entity serves as an index or organizational framework that structures, arranges, or provides access to another entity or set of entities.
-
C.
collectionSize
Indicates the total number of items contained within a specified collection.
-
D.
stateSize
Indicates the relative or absolute physical extent or dimensions of a state, such as its area or population size.
-
E.
rangeSize
Indicates the extent or magnitude of the range over which something applies, varies, or is distributed.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350367da48190b735deef9b5d2d2e |
completed | March 12, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69b347fc4c0c8190a7fcd814e27308a5 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e0606488190baadf469a1afc3c2 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:07 p.m.