Triple
T9931364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MD5 |
E192654
|
entity |
| Predicate | collisionComplexity |
P28756
|
FINISHED |
| Object | significantly lower than 2^64 |
—
|
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: significantly lower than 2^64 | Statement: [MD5, collisionComplexity, significantly lower than 2^64]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collisionComplexity Context triple: [MD5, collisionComplexity, significantly lower than 2^64]
-
A.
collisionType
Indicates the specific kind or category of collision that occurs between two or more entities.
-
B.
collisionSystem
Indicates a physical interaction where two or more entities impact or collide with each other within a defined system or environment.
-
C.
collisionDomain
Indicates that two or more network entities share the same collision domain, meaning their transmissions can interfere and cause packet collisions with each other.
-
D.
collisionHandling
Indicates how interactions between objects are managed when they come into contact or attempt to occupy the same space.
-
E.
hasComplexity
chosen
Indicates that something possesses a certain level or type of complexity, often in terms of structure, behavior, or difficulty.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b54f348190b8e70e7beff6098a |
completed | April 2, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cd1d90b8a8819081748f129c0c6ab6 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:43 p.m.