Triple
T17676166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia package registries |
E440647
|
entity |
| Predicate | hasDefaultRegistry |
P56546
|
FINISHED |
| Object | General registry |
—
|
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: General registry | Statement: [Julia package registries, hasDefaultRegistry, General registry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDefaultRegistry Context triple: [Julia package registries, hasDefaultRegistry, General registry]
-
A.
defaultRegistry
chosen
Indicates that one entity serves as the primary or standard registry used by another entity in the absence of a specifically chosen alternative.
-
B.
hasRegistryView
Indicates that an entity has permission or capability to access and view a particular registry or registry-related information.
-
C.
hasRegistrar
Indicates that an entity is formally recorded or overseen by a specific registrar organization or authority.
-
D.
hasDistrictRegistries
Indicates that an entity maintains or is associated with one or more official registries at the district level.
-
E.
hasStandardRegister
Indicates that something is expressed or occurs in a standard, neutral, or non-marked linguistic register.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6d9ab88190ab0e25eac8b0101c |
completed | April 19, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10 a.m.