Triple
T32183048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XLNX |
E822034
|
entity |
| Predicate | associatedWithAcquisitionType |
P7185
|
FINISHED |
| Object | all-stock transaction |
—
|
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: all-stock transaction | Statement: [XLNX, associatedWithAcquisitionType, all-stock transaction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAcquisitionType Context triple: [XLNX, associatedWithAcquisitionType, all-stock transaction]
-
A.
hasAcquisitionType
Indicates the specific kind or category of acquisition relationship that exists between one entity acquiring another.
-
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.
associatedWithTransactionType
Indicates that something has a connection or linkage to a specific type or category of transaction.
-
D.
acquiredWith
Indicates that one entity was obtained, purchased, or gained together with or by means of another entity.
-
E.
usesAcquisitionModel
Indicates that one entity employs or applies a particular acquisition model as the method or framework for obtaining something.
- 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_69f3490755288190aee11740a34862f9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:34 a.m.