Triple
T26409163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GHASH |
E663911
|
entity |
| Predicate | resistanceProperty |
P43585
|
FINISHED |
| Object | resistance to forgery under standard GCM security assumptions |
—
|
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: resistance to forgery under standard GCM security assumptions | Statement: [GHASH, resistanceProperty, resistance to forgery under standard GCM security assumptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resistanceProperty Context triple: [GHASH, resistanceProperty, resistance to forgery under standard GCM security assumptions]
-
A.
typeOfResistance
chosen
Indicates the kind or category of resistance that characterizes how an entity opposes, impedes, or withstands another entity or influence.
-
B.
unitOfResistance
Indicates that one entity represents a unit used to measure electrical resistance of another entity.
-
C.
methodOfResistance
Indicates a way or technique by which resistance is carried out or expressed.
-
D.
isResistant
Indicates that an entity can withstand, oppose, or is not significantly affected by a specified force, influence, or agent.
-
E.
resistedUntil
Indicates that an entity continued to oppose or withstand another entity or force up to a specific point in time or event.
- 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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610faa77081908956b6e8b5b1570c |
completed | May 2, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:37 p.m.