Triple
T35121642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Board of Surgery |
E1014179
|
entity |
| Predicate | hasCertificationCategory |
P60165
|
FINISHED |
| Object | general surgery |
—
|
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: general surgery | Statement: [American Board of Surgery, hasCertificationCategory, general surgery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCertificationCategory Context triple: [American Board of Surgery, hasCertificationCategory, general surgery]
-
A.
hasCertificationLabel
Indicates that an entity bears or is associated with a specific certification label signifying compliance with defined standards or criteria.
-
B.
typeOfCertification
chosen
Indicates the specific kind or category of certification associated with an entity.
-
C.
hasCertificationStandard
Indicates that an entity complies with, or is associated with, a specific certification standard.
-
D.
isCertified
Indicates that an entity has been officially recognized as meeting specific standards or qualifications by an authorized body.
-
E.
hasCertificationFocus
Indicates that a certification is specifically oriented toward, or primarily concerned with, a particular subject area, skill set, or domain.
- 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_69f76dd8b6948190aaa32b081816bd94 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 3, 2026, 4:01 p.m.