Triple
T37187854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heythrop College |
E921366
|
entity |
| Predicate | joinedUniversity |
P787
|
FINISHED |
| Object | University of London |
—
|
NE NERFINISHED |
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: University of London | Statement: [Heythrop College, joinedUniversity, University of London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: joinedUniversity Context triple: [Heythrop College, joinedUniversity, University of London]
-
A.
joinedVictoriaUniversity
Indicates that an entity became a member or student of Victoria University.
-
B.
graduatedTo
Indicates that one entity has successfully completed a course of study or training program at another entity and obtained a formal qualification or degree from it.
-
C.
gainedUniversityStatus
Indicates that an institution has officially achieved recognition or designation as a university.
-
D.
university
chosen
Indicates that an educational institution of higher learning is associated with or attended by a given entity.
-
E.
representedUniversity
Indicates that one entity has formally acted on behalf of, or served as a representative of, a particular 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_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.