Triple
T25819394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leroy Carhart |
E650357
|
entity |
| Predicate | practiceSpecialty |
P466
|
FINISHED |
| Object | third-trimester abortion |
—
|
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: third-trimester abortion | Statement: [Leroy Carhart, practiceSpecialty, third-trimester abortion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: practiceSpecialty Context triple: [Leroy Carhart, practiceSpecialty, third-trimester abortion]
-
A.
practiceType
Indicates the specific kind or category of practice associated with an entity or activity.
-
B.
hasSpecialty
chosen
Indicates that an entity possesses a particular area of expertise, focus, or professional specialization.
-
C.
subjectSpecialization
Indicates that one subject focuses on, or has expertise in, a particular field, topic, or area of knowledge.
-
D.
medicalPractice
Indicates a relationship where an entity engages in or carries out the professional provision of medical care or services.
-
E.
practiceFocus
Indicates that an entity directs its practice or training efforts specifically toward another entity or subject.
- 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_69e7ab367fcc8190a5ff1e7f3da046a4 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603bb02288190b40cedbed5b9651d |
completed | May 2, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 22, 2026, 7:28 a.m.