Triple
T11611724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Social Pension for Indigent Senior Citizens |
E275398
|
entity |
| Predicate | coverageBasis |
P100596
|
FINISHED |
| Object | means-tested |
—
|
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: means-tested | Statement: [Social Pension for Indigent Senior Citizens, coverageBasis, means-tested]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverageBasis Context triple: [Social Pension for Indigent Senior Citizens, coverageBasis, means-tested]
-
A.
coverageScope
Indicates the extent or range of entities, conditions, or situations that are included under a particular coverage or applicability.
-
B.
coverageModel
Indicates a relationship where a specific model or framework defines, structures, or governs the extent and manner in which something is covered or addressed.
-
C.
coverageRequirement
Indicates that one entity must provide or maintain a specified level or type of coverage (such as insurance, service, or protection) for another entity or context.
-
D.
typeOfCoverage
Indicates the specific kind or category of coverage that applies in a given context (such as insurance, service, or protection).
-
E.
stageCoverage
Indicates that one entity provides or has coverage, representation, or support for another within a particular stage or phase of a process or workflow.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a043a3c08190a20cbc2ba5a8d218 |
completed | April 10, 2026, 7:01 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69d87f2e67108190ac36bf47aac12fa8 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:38 p.m.