Triple
T2036265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regius Professor of Natural History at the University of Glasgow |
E44634
|
entity |
| Predicate | hasRegiusStatus |
P298
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Regius Professor of Natural History at the University of Glasgow, hasRegiusStatus, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegiusStatus Context triple: [Regius Professor of Natural History at the University of Glasgow, hasRegiusStatus, yes]
-
A.
hasHonoraryDegreeFrom
Indicates that an individual has been awarded an honorary degree by a particular institution.
-
B.
hasAcademicRank
chosen
Indicates that an entity holds a specific academic rank or title within an educational or research institution.
-
C.
hasViceChancellor
Indicates that one entity serves as the vice chancellor of another entity.
-
D.
magisterialStatus
Indicates that an entity holds or is assigned a formal magisterial (official judicial or administrative) authority or status in relation to another entity or context.
-
E.
hasCentralUniversityStatus
Indicates that an institution holds the official designation or recognition as a central or nationally governed 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9363b608190b42aa6d3f3fd78c4 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb7a8125881909c0cb58b777c1faa |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.