Triple
T7986057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google MapReduce |
E185683
|
entity |
| Predicate | abstractsFromProgrammer |
P31986
|
FINISHED |
| Object | details of parallelization |
—
|
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: details of parallelization | Statement: [Google MapReduce, abstractsFromProgrammer, details of parallelization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abstractsFromProgrammer Context triple: [Google MapReduce, abstractsFromProgrammer, details of parallelization]
-
A.
abstracts
chosen
Indicates that one entity generalizes, conceptualizes, or derives an abstract representation from another entity or set of details.
-
B.
notableProgramming
Indicates that an entity is notably associated with programming, such as being recognized for significant work, skill, or contributions in the field of programming.
-
C.
programmingIncludes
Indicates that one programming-related entity contains, incorporates, or makes use of another as a part, feature, or component.
-
D.
programming
Indicates that an entity writes, develops, or modifies software or code, typically using a programming language to create or control computer programs.
-
E.
treatsProgrammingAs
Indicates viewing or regarding programming in a particular way, such as as a hobby, a job, an art, or a tool.
- 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c4b87e48190a797f5363c8f0a04 |
completed | March 31, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69cb048009a08190b4c577208a9f8f76 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:15 p.m.