Triple
T14127580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Orient of Spain |
E340073
|
entity |
| Predicate | masonicOrientation |
P50336
|
FINISHED |
| Object | liberal Freemasonry |
—
|
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: liberal Freemasonry | Statement: [Grand Orient of Spain, masonicOrientation, liberal Freemasonry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: masonicOrientation Context triple: [Grand Orient of Spain, masonicOrientation, liberal Freemasonry]
-
A.
hasMasonicContext
Indicates that something is related to, influenced by, or situated within the traditions, symbolism, practices, or institutions of Freemasonry.
-
B.
masonicObedienceType
Indicates the specific organizational or jurisdictional form of authority under which a Masonic body operates.
-
C.
hasMasonicBodyType
chosen
Indicates that an entity is associated with, or classified according to, a specific type or category of Masonic body.
-
D.
ecclesiasticalOrientation
Indicates the religious or church-related affiliation, tendency, or alignment of an entity within an ecclesiastical context.
-
E.
mainShrineOrientation
Indicates the directional alignment or facing direction of a main shrine relative to a reference point or axis.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6098013c8190b1bac9d3fff60acd |
completed | April 14, 2026, 3:43 p.m. |
| PD | Predicate disambiguation | batch_69de05b5e7a08190a16be9ad8b92b80c |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:22 p.m.