Triple
T12515903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | gpgconf |
E299189
|
entity |
| Predicate | hasManualPage |
P76519
|
FINISHED |
| Object | gpgconf(1) |
E299189
|
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: gpgconf(1) | Statement: [gpgconf, hasManualPage, gpgconf(1)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: gpgconf(1) Context triple: [gpgconf, hasManualPage, gpgconf(1)]
-
A.
gpgconf
chosen
gpgconf is a configuration utility for managing and querying settings of the various components of the GNU Privacy Guard (GnuPG) encryption system.
-
B.
gpg-agent
gpg-agent is a background daemon for GNU Privacy Guard that securely manages private keys and handles cryptographic operations such as signing and decryption.
-
C.
Gpg4win
Gpg4win is a Windows software suite for email and file encryption that provides an easy-to-use implementation of OpenPGP and S/MIME.
-
D.
GNU Privacy Guard
GNU Privacy Guard is a free, open-source implementation of the OpenPGP standard used for encrypting and signing data and communications.
-
E.
gpgsm
gpgsm is the GNU Privacy Guard component that handles S/MIME public key cryptography, including X.509 certificate management and related operations.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d960c2e5b88190a7cc16002b218d8a |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bbd58b88190baeb99380babf64f |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.