Triple
T29504391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | alpha–beta pruning |
E748469
|
entity |
| Predicate | betaRepresents |
P160202
|
FINISHED |
| Object | best value that minimizer can guarantee so far |
—
|
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: best value that minimizer can guarantee so far | Statement: [alpha–beta pruning, betaRepresents, best value that minimizer can guarantee so far]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: betaRepresents Context triple: [alpha–beta pruning, betaRepresents, best value that minimizer can guarantee so far]
-
A.
blueRepresents
Indicates that the color blue is used to symbolize, denote, or stand for a particular concept, state, or category in a given context.
-
B.
kapkapRepresents
chosen
Indicates that one entity serves as a symbolic or conceptual representation of another entity within a specific context.
-
C.
fieldRepresents
Indicates that one field or attribute stands for, encodes, or symbolizes another concept, value, or entity.
-
D.
areRepresentedBy
Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
-
E.
brandRepresents
Indicates that a brand stands for, symbolizes, or conveys the identity, values, or characteristics of 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_69f0bd455a9c8190b40a3e8ea38cf61f |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c35c9608190937a51b5de166390 |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 4:26 p.m.