Triple
T35298894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Completely Automated Public Turing test to tell Computers and Humans Apart |
E1019450
|
entity |
| Predicate | challengeMedium |
P31731
|
FINISHED |
| Object | text |
—
|
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: text | Statement: [Completely Automated Public Turing test to tell Computers and Humans Apart, challengeMedium, text]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: challengeMedium Context triple: [Completely Automated Public Turing test to tell Computers and Humans Apart, challengeMedium, text]
-
A.
challengeType
chosen
Indicates the specific category or kind of challenge associated with an action or relationship between entities.
-
B.
challengeGeneration
Indicates the creation or formulation of a challenge, task, or problem for someone or something to face or address.
-
C.
challengeUndertaken
Indicates that an entity has accepted and is actively engaging in a specific challenge or demanding task.
-
D.
challengeTo
Indicates that one entity issues a challenge or dare for another entity to face or respond to.
-
E.
challengeIncludes
Indicates that a particular challenge contains, comprises, or is made up of the specified component, task, or element.
- 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:03 p.m.