Triple
T29691254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | xbps-query |
E751213
|
entity |
| Predicate | packageDatabaseAccess |
P11852
|
FINISHED |
| Object | local package database |
—
|
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: local package database | Statement: [xbps-query, packageDatabaseAccess, local package database]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: packageDatabaseAccess Context triple: [xbps-query, packageDatabaseAccess, local package database]
-
A.
dataAccessModel
Indicates the framework or scheme that governs how data can be accessed, including who can retrieve it, under what conditions, and through which mechanisms.
-
B.
hasDatabase
chosen
Indicates that an entity possesses, uses, or is associated with a specific database.
-
C.
dataAccessTechnology
Indicates the technology or method used to access, retrieve, or interact with data.
-
D.
supportsDatabaseConnectivity
Indicates that an entity provides the capability to establish and maintain connections to a database system.
-
E.
usesAccessMethod
Indicates that one entity employs or relies on a particular access method to reach, interact with, or retrieve another entity or resource.
- 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 28, 2026, 7:16 p.m.