Triple
T37150087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AVAX |
E920338
|
entity |
| Predicate | feeBurning |
P187199
|
FINISHED |
| Object | a portion of fees is burned |
—
|
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: a portion of fees is burned | Statement: [AVAX, feeBurning, a portion of fees is burned]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feeBurning Context triple: [AVAX, feeBurning, a portion of fees is burned]
-
A.
feeUnit
Indicates the unit of measurement or currency in which a fee amount is expressed.
-
B.
baseFee
Indicates the standard, initial fee amount applied before any additional charges, discounts, or adjustments.
-
C.
feeMarketChange
Indicates a change or adjustment in a fee market, such as an update to prevailing fees or fee structure within that market.
-
D.
burningSince
Indicates that an object or substance has been continuously burning from a specified starting time up to the present or another reference time.
-
E.
feedGasSource
Indicates that one entity serves as the supplying source of gas that is fed into another entity or process.
- 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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb344ba5408190a6fe8face293d88b |
completed | May 6, 2026, 12:30 p.m. |
Created at: May 3, 2026, 4:15 p.m.