Triple
T19857127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UPMC Children’s Hospital of Pittsburgh |
E477160
|
entity |
| Predicate | offersFellowshipProgram |
P19241
|
FINISHED |
| Object | pediatric subspecialties |
—
|
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: pediatric subspecialties | Statement: [UPMC Children’s Hospital of Pittsburgh, offersFellowshipProgram, pediatric subspecialties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersFellowshipProgram Context triple: [UPMC Children’s Hospital of Pittsburgh, offersFellowshipProgram, pediatric subspecialties]
-
A.
offersFellowshipPrograms
chosen
Indicates that an entity provides or makes available fellowship programs to individuals or other entities.
-
B.
offersHonorsPrograms
Indicates that an institution provides specialized honors-level academic programs or tracks to eligible participants.
-
C.
offersGrantsProgram
Indicates that an entity provides or makes available a grants program to others.
-
D.
offersLeadershipPrograms
Indicates that an entity provides or makes available structured programs focused on developing leadership skills or capabilities for others.
-
E.
offersProgramStructure
Indicates that one entity provides or makes available a specific program structure to another entity or context.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586cd8f08190b34c8886e8617255 |
completed | April 20, 2026, 4:46 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.