Triple
T3244533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solaris |
E68039
|
entity |
| Predicate | previouslyLicensedAs |
P46786
|
FINISHED |
| Object | Sun Microsystems open source CDDL components |
—
|
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: Sun Microsystems open source CDDL components | Statement: [Solaris, previouslyLicensedAs, Sun Microsystems open source CDDL components]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previouslyLicensedAs Context triple: [Solaris, previouslyLicensedAs, Sun Microsystems open source CDDL components]
-
A.
previousNameUsedUntil
Indicates that a particular name was used for an entity up to (but not necessarily including) a specified end date or time.
-
B.
formerName
Indicates that an entity was previously known by a different name in the past.
-
C.
originallyAssociatedWith
Indicates that an entity was first linked, connected, or affiliated with another entity before any later changes in association.
-
D.
previouslySupported
Indicates that an entity provided support to another entity at some time in the past, but not necessarily in the present.
-
E.
previouslyUsedEngine
Indicates that an engine has been used before in a prior context or application, rather than being new or unused.
- F. None of above. chosen
Provenance (4 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1982448190b3d60c9e4471421f |
completed | March 8, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69ada41837e48190933572165be0ca38 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:08 p.m.