Triple
T18031361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Black Institution |
E431396
|
entity |
| Predicate | hasCeremonies |
P129522
|
FINISHED |
| Object | degree system |
—
|
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: degree system | Statement: [Royal Black Institution, hasCeremonies, degree system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCeremonies Context triple: [Royal Black Institution, hasCeremonies, degree system]
-
A.
hasCeremonyMonth
Indicates the month during which a particular ceremony takes place or is scheduled.
-
B.
hasPublicCeremony
Indicates that a public ceremony is held or conducted in relation to the subject entity.
-
C.
hasCeremonyBroadcastIn
Indicates that a ceremony is broadcast or transmitted within a specified location or region.
-
D.
ceremonyIncludes
Indicates that a particular ceremony contains, involves, or encompasses a specified component, activity, or element as part of its structure or proceedings.
-
E.
ceremonyHeld
Indicates that a formal ceremony or ritual event has taken place at a particular time and/or location.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be35a70081909d24d36506d18131 |
completed | April 19, 2026, 11:36 a.m. |
| PD | Predicate disambiguation | batch_69e3f908da508190a088aa837ea5b7af |
completed | April 18, 2026, 9:35 p.m. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:25 a.m.