Triple
T26992546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clique problem |
E679893
|
entity |
| Predicate | typicalDecisionQuestion |
P76858
|
FINISHED |
| Object | Does the graph contain a clique of size at least k? |
—
|
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: Does the graph contain a clique of size at least k? | Statement: [Clique problem, typicalDecisionQuestion, Does the graph contain a clique of size at least k?]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDecisionQuestion Context triple: [Clique problem, typicalDecisionQuestion, Does the graph contain a clique of size at least k?]
-
A.
decisionQuest
Indicates that an entity is faced with or engaged in making a significant choice or judgment, often involving uncertainty or multiple possible outcomes.
-
B.
typicalQuestion
Indicates that an entity is a common or standard question typically asked in a given context or situation.
-
C.
decisionsAre
Indicates that certain choices, judgments, or resolutions possess a specified quality, status, or classification.
-
D.
decisionType
Indicates the specific category or nature of a decision associated with an entity or event.
-
E.
questionAsksWhether
chosen
Indicates that one entity poses a question to determine if a particular condition, fact, or proposition is true or not.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69ff4de66ba481908e7184b3cf9d4d2d |
completed | May 9, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69ff4c702a5881909c6684c74807e945 |
completed | May 9, 2026, 3:02 p.m. |
Created at: April 27, 2026, 6:52 a.m.