Triple
T4930420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CPQ |
E110679
|
entity |
| Predicate | associatedCompanyAcquisitionType |
P7185
|
FINISHED |
| Object | merger |
—
|
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: merger | Statement: [CPQ, associatedCompanyAcquisitionType, merger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCompanyAcquisitionType Context triple: [CPQ, associatedCompanyAcquisitionType, merger]
-
A.
acquiredCompany
Indicates that one entity has purchased and taken ownership or control of another company.
-
B.
acquisitionType
chosen
Indicates the specific kind or category of acquisition relationship that exists between entities (such as a company buying another company, assets, or a controlling stake).
-
C.
laterAcquiredBy
Indicates that one entity was acquired by another entity at a later point in time, after some prior state or ownership.
-
D.
mergerType
Indicates the specific kind or category of merger relationship that exists between the involved entities.
-
E.
acquisitionResultedIn
Indicates that an acquisition event led to a particular outcome, state, or consequence for the involved entities.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd703a0fa48190809b6ac3f2731349 |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3695c8819094e7ad2f6d4ba1ac |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.