Triple
T12980412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American College of Preventive Medicine |
E321637
|
entity |
| Predicate | hasSpecialInterestGroup |
P107879
|
FINISHED |
| Object | lifestyle medicine section |
—
|
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: lifestyle medicine section | Statement: [American College of Preventive Medicine, hasSpecialInterestGroup, lifestyle medicine section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpecialInterestGroup Context triple: [American College of Preventive Medicine, hasSpecialInterestGroup, lifestyle medicine section]
-
A.
hasPoliticalGroup
Indicates that an entity is associated with, belongs to, or is represented by a particular political group or organization.
-
B.
notablePoliticalGroup
Indicates that an entity is a politically significant group or organization associated with the subject.
-
C.
isCharterMemberOf
Indicates that an entity is an original or founding member of a group, organization, or institution at the time it was established.
-
D.
hasCommittee
Indicates that an entity is associated with or overseen by a specific committee.
-
E.
hasSupporterGroup
Indicates that an entity is associated with a group of supporters that backs, promotes, or advocates for it.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97f1badac8190a59e60751f47b8d6 |
completed | April 10, 2026, 10:52 p.m. |
Created at: April 9, 2026, 8:39 p.m.