Triple
T37187855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heythrop College |
E921366
|
entity |
| Predicate | joinedUniversityYear |
P64978
|
FINISHED |
| Object | 1970 |
—
|
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: 1970 | Statement: [Heythrop College, joinedUniversityYear, 1970]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: joinedUniversityYear Context triple: [Heythrop College, joinedUniversityYear, 1970]
-
A.
matriculationYear
Indicates the calendar year in which an individual formally enrolled or was admitted into an educational program or institution.
-
B.
yearOfCommencement
Indicates the specific year in which an activity, event, project, or entity officially began or was initiated.
-
C.
undergraduateDegreeYear
Indicates the year in which an entity obtained or completed their undergraduate degree.
-
D.
joinedInYear
chosen
Indicates that an entity became a member of, or started participating in, another entity (such as an organization, group, or institution) in a specified calendar year.
-
E.
yearTaken
Indicates the specific calendar year in which an action, event, or record associated with the subject was carried out or occurred.
- 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_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:15 p.m.