Triple
T29504390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | alpha–beta pruning |
E748469
|
entity |
| Predicate | alphaRepresents |
P160202
|
FINISHED |
| Object | best value that maximizer 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 maximizer can guarantee so far | Statement: [alpha–beta pruning, alphaRepresents, best value that maximizer can guarantee so far]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alphaRepresents Context triple: [alpha–beta pruning, alphaRepresents, best value that maximizer can guarantee so far]
-
A.
letterRepresents
Indicates that a particular letter or character stands for, symbolizes, or denotes a specific value, concept, or entity.
-
B.
alphabeticPartRepresents
Indicates that the alphabetic portion of an identifier, code, or label stands for or denotes a particular concept, category, or entity.
-
C.
typicalAlpha
Indicates that an entity exhibits the characteristic or behavior considered standard or representative (i.e., “typical”) for a given group, category, or context.
-
D.
kapkapRepresents
chosen
Indicates that one entity serves as a symbolic or conceptual representation of another entity within a specific context.
-
E.
alphabetic
Indicates that the characters in a string or sequence consist solely of letters from an alphabet, with no digits or special symbols.
- 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.