Triple
T25433675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federally Qualified Health Center look-alikes |
E637321
|
entity |
| Predicate | meetsAllRequirementsOf |
P129980
|
FINISHED |
| Object | Health Center Program |
—
|
NE NERFINISHED |
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: Health Center Program | Statement: [Federally Qualified Health Center look-alikes, meetsAllRequirementsOf, Health Center Program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meetsAllRequirementsOf Context triple: [Federally Qualified Health Center look-alikes, meetsAllRequirementsOf, Health Center Program]
-
A.
meetsNeedOf
chosen
Indicates that one entity sufficiently fulfills or satisfies the requirement, demand, or expectation specified by another entity.
-
B.
mustMeet
Indicates that one entity is required or obligated to have a meeting or encounter with another entity.
-
C.
designedToMeetRequirement
Indicates that something has been intentionally created or configured in order to satisfy a specified requirement.
-
D.
meetsRegarding
Indicates that one entity meets with another specifically to discuss or address a particular topic, issue, or subject.
-
E.
meetsEvery
Indicates that one entity encounters or comes into contact with every member of a specified set of entities.
- 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_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. |
Created at: April 21, 2026, 1:59 p.m.