Triple
T25426066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lightroom catalog |
E637117
|
entity |
| Predicate | databaseEngine |
P95953
|
FINISHED |
| Object | SQLite |
—
|
NE NERFINISHED |
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: SQLite | Statement: [Lightroom catalog, databaseEngine, SQLite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: databaseEngine Context triple: [Lightroom catalog, databaseEngine, SQLite]
-
A.
typicalDatabaseEngine
Indicates that an entity functions as a standard or commonly used database engine in typical usage scenarios.
-
B.
databaseType
Indicates the specific kind or category of database technology associated with an entity.
-
C.
databaseProduct
chosen
Indicates that one entity is a database system that serves as the product or platform associated with another entity.
-
D.
databaseIntroducedIn
Indicates the point in time, version, or context in which a particular database was first introduced or made available.
-
E.
engineName
Indicates the specific name assigned to an engine associated with an entity.
- 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6bfdb748190abfd40ed1838d9aa |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:57 p.m.