Triple
T8647662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Health Fund of Chile |
E205018
|
entity |
| Predicate | coverageModel |
P84119
|
FINISHED |
| Object | social health insurance |
—
|
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: social health insurance | Statement: [National Health Fund of Chile, coverageModel, social health insurance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverageModel Context triple: [National Health Fund of Chile, coverageModel, social health insurance]
-
A.
coverageScope
Indicates the extent or range of entities, conditions, or situations that are included under a particular coverage or applicability.
-
B.
componentCoverage
Indicates that one entity provides coverage, protection, or support for another as one of its components or constituent parts.
-
C.
branchCoverage
Indicates that one entity measures or represents how many decision branches in another entity’s control flow have been executed during testing.
-
D.
impliesCoverage
Indicates that one entity’s scope, protection, or applicability extends to or includes another entity.
-
E.
keyCoverage
Indicates that one entity provides coverage, protection, or applicability for another in a way that is essential or central to its function or requirements.
- 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48112b4881908901214f41b6bf71 |
completed | March 31, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69cc45619460819091e83ffdec99c865 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc473e44988190a3b02498e5fff668 |
completed | March 31, 2026, 10:14 p.m. |
Created at: March 30, 2026, 6:29 p.m.