Triple
T956472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerner |
E20635
|
entity |
| Predicate | acquisitionOfSiemensHealthServicesYear |
P15703
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Cerner, acquisitionOfSiemensHealthServicesYear, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquisitionOfSiemensHealthServicesYear Context triple: [Cerner, acquisitionOfSiemensHealthServicesYear, 2015]
-
A.
acquisitionCompletedYear
chosen
Indicates the calendar year in which an acquisition transaction was fully completed.
-
B.
mergerYear
Indicates the year in which two or more entities formally merged into a single entity.
-
C.
acquisitionDate
Indicates the date on which one entity formally acquires or takes ownership of another entity.
-
D.
acquiredCompany
Indicates that one entity has purchased and taken ownership or control of another company.
-
E.
incorporationYear
Indicates the calendar year in which an organization or entity was formally incorporated or legally established.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3f981bc819098125554eeeb6375 |
completed | March 1, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a18ecc8190883f6206fe3b0fb6 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.