Triple
T597388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Entered Apprentice |
E11415
|
entity |
| Predicate | grantsStatus |
P16809
|
FINISHED |
| Object | membership in a Masonic lodge with limited rights |
—
|
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: membership in a Masonic lodge with limited rights | Statement: [Entered Apprentice, grantsStatus, membership in a Masonic lodge with limited rights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantsStatus Context triple: [Entered Apprentice, grantsStatus, membership in a Masonic lodge with limited rights]
-
A.
awardStatus
Indicates the current state or outcome of an award in relation to an entity, such as whether it has been granted, pending, rejected, or completed.
-
B.
hasMonetaryGrant
Indicates that an entity provides or receives a monetary grant from another entity.
-
C.
grantProgram
Indicates that an entity administers or is associated with a structured grant-based funding program.
-
D.
styleGranted
Indicates that a particular style, manner, or mode of expression has been conferred or authorized for use by one entity to another.
-
E.
dateGranted
Indicates the specific date on which a right, status, or permission was formally conferred or approved.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49dc4f7d08190990f70b9b3af6ce5 |
completed | March 1, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69a49cf59cd0819084e67981cb371e25 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49dc0e6a08190b81d82a6f2571c41 |
completed | March 1, 2026, 8:12 p.m. |
Created at: March 1, 2026, 7:35 p.m.