Triple
T14931385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Lodge of Ireland |
E372272
|
entity |
| Predicate | hasMasonicDegreeSystem |
P116716
|
FINISHED |
| Object | three Craft degrees |
—
|
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: three Craft degrees | Statement: [Grand Lodge of Ireland, hasMasonicDegreeSystem, three Craft degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMasonicDegreeSystem Context triple: [Grand Lodge of Ireland, hasMasonicDegreeSystem, three Craft degrees]
-
A.
hasMasonicContext
Indicates that something is related to, influenced by, or situated within the traditions, symbolism, practices, or institutions of Freemasonry.
-
B.
hasMasonicBodyType
Indicates that an entity is associated with, or classified according to, a specific type or category of Masonic body.
-
C.
masonicObedienceType
Indicates the specific organizational or jurisdictional form of authority under which a Masonic body operates.
-
D.
hasDegree
Indicates that an entity possesses or has been awarded a specific academic or professional degree.
-
E.
hasNumberOfDegrees
Indicates the quantity of academic degrees that an entity possesses.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64550dc8190ba44120df00ba498 |
completed | April 15, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:36 a.m.