Triple
T17227288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hirst Prize and Lectureship |
E418148
|
entity |
| Predicate | topicOfLecture |
P103055
|
FINISHED |
| Object | history of mathematics |
—
|
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: history of mathematics | Statement: [Hirst Prize and Lectureship, topicOfLecture, history of mathematics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topicOfLecture Context triple: [Hirst Prize and Lectureship, topicOfLecture, history of mathematics]
-
A.
topicOfConference
Indicates that a given subject or theme is the main focus or subject matter of a particular conference.
-
B.
typicalCourseTopic
Indicates that a given topic is commonly or characteristically covered as part of a particular course.
-
C.
coveredTopics
chosen
Indicates that certain subjects or themes have been addressed or included within a discussion, document, or activity.
-
D.
primaryTopicOf
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
-
E.
subjectOfProject
Indicates that an entity serves as the main focus, topic, or target of a particular project.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42de239a08190936a1d635b0b1b87 |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3831e354881908c5505ffd15c84e9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:39 a.m.