Triple
T8235345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tōshō |
E192390
|
entity |
| Predicate | isOneOfLargestExchangesBy |
P80998
|
FINISHED |
| Object | market capitalization |
—
|
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: market capitalization | Statement: [Tōshō, isOneOfLargestExchangesBy, market capitalization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfLargestExchangesBy Context triple: [Tōshō, isOneOfLargestExchangesBy, market capitalization]
-
A.
isOneOfLargestStockExchangesIn
Indicates that an entity ranks among the largest stock exchanges within a specified country or region.
-
B.
isOneOfMostImportantStockExchangesIn
Indicates that a stock exchange is among the most significant or influential exchanges within a specified country or region.
-
C.
majorExchange
Indicates that an entity is a primary or significant trading venue where financial instruments are actively bought and sold.
-
D.
exchanges
Indicates a reciprocal transfer of something of value between two or more entities.
-
E.
isMostTradedCurrency
Indicates that a currency is the one with the highest trading volume or frequency in a given market or context.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb782931848190bcc54622f34e06a7 |
completed | March 31, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69cb36b1dea0819091418072501e79c1 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb3d6c34708190a987d68529cbb0b3 |
completed | March 31, 2026, 3:20 a.m. |
Created at: March 30, 2026, 5:46 p.m.