Triple
T23010596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RY |
E572893
|
entity |
| Predicate | isFrequentlyTraded |
P6188
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [RY, isFrequentlyTraded, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFrequentlyTraded Context triple: [RY, isFrequentlyTraded, true]
-
A.
isWidelyTraded
chosen
Indicates that an asset or item is frequently bought and sold across many participants or markets, resulting in high trading activity and liquidity.
-
B.
frequentlyTradedAgainst
Indicates that two entities are commonly exchanged or traded with each other in a significant number of transactions over time.
-
C.
isOptionsTraded
Indicates that options contracts based on the referenced entity are actively traded in a financial market.
-
D.
isMostTradedCurrency
Indicates that a currency is the one with the highest trading volume or frequency in a given market or context.
-
E.
isTradedLike
Indicates that one entity is exchanged, valued, or handled in markets in a manner similar to another entity.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18359f5548190b15a139eb09e30a0 |
completed | April 29, 2026, 4:04 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:51 p.m.