Triple
T37187856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heythrop College |
E921366
|
entity |
| Predicate | closedAsCollegeOfUniversityOfLondon |
P53769
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Heythrop College, closedAsCollegeOfUniversityOfLondon, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closedAsCollegeOfUniversityOfLondon Context triple: [Heythrop College, closedAsCollegeOfUniversityOfLondon, 2018]
-
A.
universityClosedIn
Indicates that a university ceased operations or was officially closed in a specified year or time period.
-
B.
imperialCollege
Indicates that one entity is Imperial College (typically as an affiliation, location, or institutional relationship) in relation to another entity.
-
C.
charteredAsUniversityIn
Indicates that an institution was formally granted university status in a specified place or jurisdiction.
-
D.
closedAsIndependentInstitution
chosen
Indicates that an institution has ceased operations as an independent entity, typically due to closure, merger, or absorption into another organization.
-
E.
universityCollege
Indicates that one institution functions as a college within, or is organizationally part of, a larger university.
- 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_69f76ea250bc819083f28d81de25cd0c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: May 3, 2026, 4:15 p.m.