Triple
T8284673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CP1 floating-point coprocessor |
E193759
|
entity |
| Predicate | canBeAbsentIn |
P64000
|
FINISHED |
| Object | low-cost MIPS implementations |
—
|
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: low-cost MIPS implementations | Statement: [CP1 floating-point coprocessor, canBeAbsentIn, low-cost MIPS implementations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeAbsentIn Context triple: [CP1 floating-point coprocessor, canBeAbsentIn, low-cost MIPS implementations]
-
A.
canBe
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
-
B.
canBeVacantWhen
Indicates the conditions or circumstances under which something is allowed or able to remain unoccupied or empty.
-
C.
canBeVacant
Indicates that an entity (such as a position, property, or role) is capable of being unoccupied or without an assigned holder.
-
D.
canBeUsedWithout
chosen
Indicates that one entity is capable of functioning or being utilized independently of another specified entity.
-
E.
mayPresent
Indicates that one entity is permitted or authorized to present, display, or introduce another entity or item.
- 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad0535081908bb234cfc0e32b32 |
completed | March 31, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69cb70ad9fc081908741f8c4a4141edf |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:52 p.m.