Triple
T151625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moscow Time |
E3442
|
entity |
| Predicate | appliesToFinancialMarkets |
P1129
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Moscow Time, appliesToFinancialMarkets, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToFinancialMarkets Context triple: [Moscow Time, appliesToFinancialMarkets, yes]
-
A.
usedByFinancialMarket
Indicates that something is employed or utilized within the operations, practices, or mechanisms of a financial market.
-
B.
appliesTo
chosen
Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
-
C.
marketType
Indicates the classification or category of market in which an entity operates or a transaction occurs (e.g., retail, wholesale, online).
-
D.
involvesCurrency
Indicates that the relationship or action includes or pertains to the use, exchange, or specification of a particular currency.
-
E.
hasMarket
Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2580f55a88190b37b54ee0ed5ac7c |
completed | Feb. 28, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69a2565adaf48190b68ae4444ff83ccd |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.