Triple
T31776490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elpida Memory |
E811078
|
entity |
| Predicate | reasonForDefunct |
P50842
|
FINISHED |
| Object | acquired by Micron Technology |
—
|
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: acquired by Micron Technology | Statement: [Elpida Memory, reasonForDefunct, acquired by Micron Technology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForDefunct Context triple: [Elpida Memory, reasonForDefunct, acquired by Micron Technology]
-
A.
reasonForDemise
Indicates the cause, circumstance, or factor that led to an entity’s death or termination.
-
B.
reasonForElimination
Indicates the specific cause or justification for why an entity was removed, disqualified, or excluded from consideration.
-
C.
inactivationReason
Indicates the reason or cause for which an entity, status, or process has been deactivated or made inactive.
-
D.
defunctBy
chosen
Indicates that an entity has ceased to exist, operate, or function as a result of the actions, decisions, or influence of another entity.
-
E.
killedBecauseOf
Indicates that one entity killed another specifically due to a particular reason, motive, or triggering factor associated with that other entity or a related circumstance.
- 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_69f348e544a48190ab6e700b05f6438c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: April 30, 2026, 11:35 p.m.