Triple
T17320462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University Challenge |
E420544
|
entity |
| Predicate | notableQuestionContent |
P126964
|
FINISHED |
| Object | science |
—
|
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: science | Statement: [University Challenge, notableQuestionContent, science]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableQuestionContent Context triple: [University Challenge, notableQuestionContent, science]
-
A.
notableSection
Indicates that a particular part or segment of something is especially important, prominent, or worthy of attention within the whole.
-
B.
notableArticle
Indicates that there exists an article or written work that is especially significant, prominent, or noteworthy in relation to the subject.
-
C.
notableDuring
Indicates that something was especially prominent, active, or significant during a particular time period or event.
-
D.
notableBlock
Indicates that one entity is a block (e.g., text, code, or content segment) that is considered notable or significant in relation to another entity or context.
-
E.
notableSect
Indicates that an entity is a significant or prominent sect, denomination, or subgroup within a broader religious, ideological, or organizational context.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439a066b481908e8aee1885809eba |
completed | April 19, 2026, 2:10 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:43 a.m.