Triple
T2635833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American College of Surgeons |
E59742
|
entity |
| Predicate | hasMembershipLevel |
P18012
|
FINISHED |
| Object | Fellow |
—
|
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: Fellow | Statement: [American College of Surgeons, hasMembershipLevel, Fellow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMembershipLevel Context triple: [American College of Surgeons, hasMembershipLevel, Fellow]
-
A.
membershipLevelAbove
Indicates that one entity’s membership level is ranked higher or more privileged than another entity’s membership level.
-
B.
membershipLevelBelow
Indicates that one entity’s membership level is ranked lower or less privileged than another entity’s membership level.
-
C.
hasMembershipBase
Indicates that an entity possesses or is associated with a foundational group or set of members that form its membership base.
-
D.
hasMembershipProgram
Indicates that an entity offers or participates in a structured membership program, typically providing special access, benefits, or services to enrolled members.
-
E.
membershipStatus
chosen
Indicates the current state or level of an entity’s participation or affiliation within a group, organization, or program.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8e1fffc81908e4921690098c8db |
completed | March 7, 2026, 7:50 a.m. |
| PD | Predicate disambiguation | batch_69abd812849881908f956845a80e0205 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.