Triple
T17568199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ack |
E427870
|
entity |
| Predicate | distribution |
P1356
|
FINISHED |
| Object | CPAN |
—
|
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: CPAN | Statement: [ack, distribution, CPAN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CPAN Context triple: [ack, distribution, CPAN]
-
A.
CPAN
chosen
CPAN is the comprehensive archive and distribution network for Perl modules and libraries, serving as the primary ecosystem for sharing and installing Perl software.
-
B.
CPAN Testers
CPAN Testers is a volunteer-driven testing infrastructure that automatically tests Perl modules uploaded to CPAN across diverse platforms and configurations, helping ensure their quality and reliability.
-
C.
Hackage
Hackage is the central online package repository and distribution platform for the Haskell programming language’s libraries and tools.
-
D.
Perl
Perl is a high-level, general-purpose programming language known for its powerful text-processing capabilities and use in system administration, web development, and scripting.
-
E.
Perl
Perl is a small municipality in western Germany’s Saarland region, known for its location near the tripoint of Germany, Luxembourg, and France along the Moselle River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592e56e481909249b831cecc31d5 |
completed | April 19, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.