Triple
T4279439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BRIN |
E97114
|
entity |
| Predicate | abbreviationOf |
P590
|
FINISHED |
| Object | Block Range Index |
E427690
|
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: Block Range Index | Statement: [BRIN, abbreviationOf, Block Range Index]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Block Range Index Context triple: [BRIN, abbreviationOf, Block Range Index]
-
A.
Block Range Index
chosen
Block Range Index is a compact PostgreSQL index type that summarizes ranges of table blocks to speed up queries on large, naturally ordered datasets while using minimal storage.
-
B.
ClosedRange
ClosedRange is a Swift Standard Library generic type that represents a range of comparable values that includes both its lower and upper bounds.
-
C.
B-tree
A B-tree is a self-balancing tree data structure that maintains sorted data and allows efficient insertion, deletion, and search operations, commonly used to implement database indexes.
-
D.
Boundary Ranges
Boundary Ranges are a major subrange of the Coast Mountains spanning the border region between southeastern Alaska and northwestern British Columbia, known for their rugged, glaciated peaks and remote wilderness.
-
E.
Merkle tree
A Merkle tree is a cryptographic data structure that uses a tree of hash values to efficiently and securely verify the integrity and consistency of large sets of data.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350367da48190b735deef9b5d2d2e |
completed | March 12, 2026, 11:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c7237b608190ab5aca56027344c4 |
completed | March 14, 2026, 8:37 p.m. |
Created at: March 12, 2026, 11:07 p.m.