Triple
T25931447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Extended Memory 64 Technology |
E653447
|
entity |
| Predicate | marketingNameChange |
P162609
|
FINISHED |
| Object | Intel 64 |
—
|
NE NERFINISHED |
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: Intel 64 | Statement: [Extended Memory 64 Technology, marketingNameChange, Intel 64]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingNameChange Context triple: [Extended Memory 64 Technology, marketingNameChange, Intel 64]
-
A.
marketingNameOf
Indicates that one entity is the marketing or brand name used to promote or refer to another entity.
-
B.
changesNameTo
Indicates that an entity alters its current name and adopts a new specified name.
-
C.
officialNameChangeTo
Indicates that an entity’s official name has been changed from a previous name to a new specified name.
-
D.
changedNameOn
Indicates that an entity altered or updated its name at a specific point in time or on a particular date.
-
E.
underwentNameChangeTo
Indicates that an entity previously known by one name has changed its name to the specified new name.
- 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f62b9e5ba88190a3c0d46edec7afe7 |
completed | May 2, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f627ad6d4c81909796d39d78e414f9 |
completed | May 2, 2026, 4:34 p.m. |
Created at: April 22, 2026, 8:37 a.m.