Triple
T531051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master Mason |
E12221
|
entity |
| Predicate | confersEligibilityFor |
P84
|
FINISHED |
| Object | lodge office (in most jurisdictions) |
—
|
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: lodge office (in most jurisdictions) | Statement: [Master Mason, confersEligibilityFor, lodge office (in most jurisdictions)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: confersEligibilityFor Context triple: [Master Mason, confersEligibilityFor, lodge office (in most jurisdictions)]
-
A.
eligibilityLevel
Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
-
B.
eligibility
chosen
Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
-
C.
eligibilityCriteria
Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
-
D.
canBeAwardedTo
Indicates that something is eligible to receive or be granted a particular award, honor, or recognition.
-
E.
eligibilitySameAs
Indicates that two entities share the same eligibility status or criteria for a given program, benefit, or condition.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985e51908190a34aa82ea9dbee1e |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b257108190a537dffbb9d621b5 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.