Triple
T21130116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Medicine Society |
E520662
|
entity |
| Predicate | organizesAs |
P123
|
FINISHED |
| Object | degrees of initiation |
—
|
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: degrees of initiation | Statement: [Grand Medicine Society, organizesAs, degrees of initiation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizesAs Context triple: [Grand Medicine Society, organizesAs, degrees of initiation]
-
A.
organizedAs
Indicates how elements are structured, arranged, or grouped according to a particular organizing principle or scheme.
-
B.
organizes
chosen
Indicates that one entity arranges, coordinates, or structures activities, items, or people into an ordered or planned form for a particular purpose.
-
C.
organizesInto
Indicates that one entity arranges, structures, or groups another entity into a particular order, system, or set of categories.
-
D.
organizedFrom
Indicates that something has been arranged, structured, or formed starting from a specified source or initial set of elements.
-
E.
organizingElement
Indicates that one entity serves as the primary structuring or coordinating element that arranges, orders, or systematizes other related entities or components.
- 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723556ec08190a2ade96c76f9cec7 |
completed | April 21, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69e5f5ed6c8c8190b31092a5d4c3de5d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:56 p.m.