Triple
T25433686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federally Qualified Health Center look-alikes |
E637321
|
entity |
| Predicate | mustServe |
P158507
|
FINISHED |
| Object | medically underserved populations |
—
|
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: medically underserved populations | Statement: [Federally Qualified Health Center look-alikes, mustServe, medically underserved populations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mustServe Context triple: [Federally Qualified Health Center look-alikes, mustServe, medically underserved populations]
-
A.
mustHandle
Indicates that one entity is required or obligated to process, deal with, or take responsibility for another entity or situation.
-
B.
mayServe
Indicates that one entity is permitted or authorized to provide a service or function to another entity.
-
C.
mustEstablish
Indicates that one entity is obligated or required to create, set up, or formally establish another entity, condition, or relationship.
-
D.
mustMeet
Indicates that one entity is required or obligated to have a meeting or encounter with another entity.
-
E.
mustTell
Indicates that one entity is obligated or required to inform or disclose something to another entity.
- 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_69e75db6c97081908178383fa632b193 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6dd99f88190848a5bbee795aa17 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 1:59 p.m.