Triple
T28383452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fellow of the Royal College of Surgeons |
E718949
|
entity |
| Predicate | higherQualificationThan |
P162633
|
FINISHED |
| Object | Member of the Royal College of Surgeons |
—
|
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: Member of the Royal College of Surgeons | Statement: [Fellow of the Royal College of Surgeons, higherQualificationThan, Member of the Royal College of Surgeons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: higherQualificationThan Context triple: [Fellow of the Royal College of Surgeons, higherQualificationThan, Member of the Royal College of Surgeons]
-
A.
hasHigherDegree
Indicates that one entity possesses an academic degree that is of a higher level than the academic degree held by another entity.
-
B.
hasQualification
Indicates that an entity possesses a specific qualification, credential, or competency.
-
C.
hasHigherEducationType
Indicates that one entity has a specified type or category of higher education associated with it.
-
D.
eligibleDegree
Indicates that an academic degree qualifies its holder to be considered eligible for a particular program, position, or requirement.
-
E.
degreeLevelComparedTo
chosen
Indicates a comparison between two entities based on the level or rank of an academic or educational degree one has relative to the other.
- 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_69eff6ef211081909d31d9be5f5567e6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 28, 2026, 1:08 a.m.