Triple
T37462799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stonehill Defender |
E930959
|
entity |
| Predicate | healthToCostRatio |
P189502
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Stonehill Defender, healthToCostRatio, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: healthToCostRatio Context triple: [Stonehill Defender, healthToCostRatio, high]
-
A.
careComponentRates
Indicates a relationship where specific care components are assigned rating or pricing values that quantify their cost or quality.
-
B.
budgetImpact
Indicates the effect or change that an action, decision, or event has on a specified budget.
-
C.
healthRationale
Indicates the reasoning or justification behind an assessment, decision, or action related to health.
-
D.
economicCost
Indicates the financial burden, expense, or resource expenditure associated with an action, event, or relationship between entities.
-
E.
costSharing
Indicates how the financial burden of a cost is divided or shared among multiple parties.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc36bcac48190a726b40442c094d1 |
completed | May 6, 2026, 10:40 p.m. |
Created at: May 3, 2026, 4:17 p.m.