Triple
T4426005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E-Rate program |
E95210
|
entity |
| Predicate | discountRange |
P18022
|
FINISHED |
| Object | 20–90 percent |
—
|
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: 20–90 percent | Statement: [E-Rate program, discountRange, 20–90 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discountRange Context triple: [E-Rate program, discountRange, 20–90 percent]
-
A.
salePriceApproximate
Indicates that the recorded sale price is an estimated or approximate value rather than an exact amount.
-
B.
priceRelationship
Indicates a comparative relationship between the prices of two entities, such as one being higher, lower, or equal to the other.
-
C.
priceCategory
chosen
Indicates the classification of an item or service based on its price level or cost range.
-
D.
priceDeterminedBy
Indicates that the price of one entity is set, influenced, or calculated based on another entity or factor.
-
E.
typicalRange
Indicates the usual or expected range of values, conditions, or states within which something normally occurs or applies.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554e40ec8190982acc0948da2f42 |
completed | March 13, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69b34f5eabe88190a12b244ea71e46d6 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:30 p.m.