Triple
T8141766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medallion Qualification Dollars |
E190113
|
entity |
| Predicate | relatedMetric |
P80905
|
FINISHED |
| Object | Medallion Qualification Miles |
—
|
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: Medallion Qualification Miles | Statement: [Medallion Qualification Dollars, relatedMetric, Medallion Qualification Miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedMetric Context triple: [Medallion Qualification Dollars, relatedMetric, Medallion Qualification Miles]
-
A.
relatedMIC
Indicates that there exists a relationship or connection between entities involving a MIC (Minimum Inhibitory Concentration) context, such as shared, comparable, or associated MIC values or measurements.
-
B.
relatedConstant
Indicates that one entity is a fixed, unchanging value or constant that is associated with or linked to another entity.
-
C.
relatedField
Indicates that one field, topic, or area of study is connected or relevant to another in subject matter or application.
-
D.
relatedByFormula
Indicates that one entity is mathematically or logically derived from, or connected to, another according to a specific formula.
-
E.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
- 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4442299881909db56f7475cbb99a |
completed | March 31, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb39d20e78819092ea9e04357be008 |
completed | March 31, 2026, 3:04 a.m. |
Created at: March 30, 2026, 5:36 p.m.