Triple
T18210162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States v. Microsoft Corp. |
E436009
|
entity |
| Predicate | initialRemedy |
P130240
|
FINISHED |
| Object | order to break Microsoft into two separate companies |
—
|
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: order to break Microsoft into two separate companies | Statement: [United States v. Microsoft Corp., initialRemedy, order to break Microsoft into two separate companies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialRemedy Context triple: [United States v. Microsoft Corp., initialRemedy, order to break Microsoft into two separate companies]
-
A.
hasRemedy
Indicates that one entity serves as a remedy, treatment, or corrective measure for a problem, condition, or undesirable state associated with another entity.
-
B.
typeOfRemedy
Indicates that one entity is a specific kind or category of remedy in relation to another entity.
-
C.
remedy
Indicates that one entity serves to cure, alleviate, or counteract a problem, illness, or undesirable condition affecting another entity.
-
D.
primaryTreatment
Indicates that a specified treatment is the main or first-line intervention used to address a particular condition or problem, as opposed to secondary or adjunctive treatments.
-
E.
treats
Indicates that one entity provides medical care or therapeutic intervention to another entity.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e228a7fc81909cfcf11cf7ce1360 |
completed | April 19, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4332155d88190b106d0dceb4554af |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f684e48190b38c64b58c518b6a |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:32 a.m.