Triple
T1843595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William of Wykeham |
E41232
|
entity |
| Predicate | foundationDateOfWinchesterCollege |
P41
|
FINISHED |
| Object | 1382 |
—
|
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: 1382 | Statement: [William of Wykeham, foundationDateOfWinchesterCollege, 1382]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundationDateOfWinchesterCollege Context triple: [William of Wykeham, foundationDateOfWinchesterCollege, 1382]
-
A.
RoyalAcademySchoolsFoundedIn
Indicates that the Royal Academy Schools were established or came into existence in a specified year or time period.
-
B.
foundedAsUniversityIn
Indicates that an institution was originally established as a university in a specific year or time period.
-
C.
startTimeAsArchbishopOfCanterbury
Indicates the date and time when an individual began serving as Archbishop of Canterbury.
-
D.
foundedOn
chosen
Indicates that an entity was established, created, or brought into existence on a specific date or point in time.
-
E.
dateOfKnighthood
Indicates the specific date on which an individual was formally granted knighthood.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafdb0d2c8190a67f584e67979fa3 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.