Triple
T8828735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CRAM-MD5 |
E210079
|
entity |
| Predicate | challengeFormat |
P84871
|
FINISHED |
| Object | base64-encoded string |
—
|
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: base64-encoded string | Statement: [CRAM-MD5, challengeFormat, base64-encoded string]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: challengeFormat Context triple: [CRAM-MD5, challengeFormat, base64-encoded string]
-
A.
challengeType
Indicates the specific category or kind of challenge associated with an action or relationship between entities.
-
B.
challengeUndertaken
Indicates that an entity has accepted and is actively engaging in a specific challenge or demanding task.
-
C.
featuredChallengeCup
Indicates that a particular Challenge Cup is highlighted or given special prominence relative to others.
-
D.
hasChallenge
Indicates that an entity faces, experiences, or is confronted with a particular difficulty, obstacle, or problem.
-
E.
challenger
Indicates that one entity is challenging or opposing another, typically by initiating a contest, dispute, or competitive confrontation.
- F. None of above. chosen
Provenance (4 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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc604c52a48190807e46c15e3c1558 |
completed | April 1, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69cc5c23d08481908d8c9b0ad3d1dc00 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cff3608819081d2d7e5c16d44b7 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:47 p.m.