Triple
T13050900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owens College |
E327444
|
entity |
| Predicate | joinedVictoriaUniversity |
P108456
|
FINISHED |
| Object | 1880 |
—
|
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: 1880 | Statement: [Owens College, joinedVictoriaUniversity, 1880]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: joinedVictoriaUniversity Context triple: [Owens College, joinedVictoriaUniversity, 1880]
-
A.
gainedUniversityStatus
Indicates that an institution has officially achieved recognition or designation as a university.
-
B.
awayUniversity
Indicates that an entity is located at or associated with a university that is geographically distant from another referenced place or context.
-
C.
universityLocatedIn
Indicates that a university is situated within or associated with a specific geographic location or administrative region.
-
D.
hasViceChancellor
Indicates that one entity serves as the vice chancellor of another entity.
-
E.
universityName
Indicates the official name associated with a particular university.
- F. None of above. chosen
Provenance (4 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
| PDg | Predicate description generation | batch_69d98a9577d081908ddef9ea77e408e2 |
completed | April 10, 2026, 11:41 p.m. |
Created at: April 9, 2026, 8:57 p.m.