Triple
T3727854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DVB-S |
E78991
|
entity |
| Predicate | symbolRates |
P51281
|
FINISHED |
| Object | typically 1 to 45 Msymbol/s |
—
|
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: typically 1 to 45 Msymbol/s | Statement: [DVB-S, symbolRates, typically 1 to 45 Msymbol/s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolRates Context triple: [DVB-S, symbolRates, typically 1 to 45 Msymbol/s]
-
A.
supportsCodeRates
Indicates that one entity is capable of handling, processing, or operating at the specific code rates associated with another entity.
-
B.
currencyModel
Indicates that something uses, is based on, or conforms to a particular system or model of currency (e.g., monetary structure, denomination scheme, or valuation framework).
-
C.
blackMarketExchangeRate
Indicates the exchange rate between two currencies as determined by unofficial or illegal (black market) trading rather than the official or government-sanctioned rate.
-
D.
exchangeRateCharacteristic
Indicates a relationship where a specific property or feature is attributed to an exchange rate, characterizing how that rate behaves or is defined.
-
E.
currencyPeg
Indicates that one currency’s value is fixed or tightly linked to the value of another currency or a basket of currencies.
- 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_69ad8b0e4650819090ad7cef094285e8 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcaf921bc81908bb347d6b9204670 |
completed | March 8, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69adc0452f5081909c79e114a86cce8c |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc226fffc81909c679b44e611fee6 |
completed | March 8, 2026, 6:38 p.m. |
Created at: March 8, 2026, 3:34 p.m.