Triple
T1653355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Stock Exchange |
E35742
|
entity |
| Predicate | isOneOfLargestExchangesIn |
P14363
|
FINISHED |
| Object | world |
—
|
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: world | Statement: [Tokyo Stock Exchange, isOneOfLargestExchangesIn, world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfLargestExchangesIn Context triple: [Tokyo Stock Exchange, isOneOfLargestExchangesIn, world]
-
A.
isOneOfLargestStockExchangesIn
chosen
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.
exchanges
Indicates a reciprocal transfer of something of value between two or more entities.
-
D.
tradedOn
Indicates that an asset, security, or instrument is bought and sold on a particular exchange or trading venue.
-
E.
isSecondLargestByVolumeIn
Indicates that an entity has the second-largest volume among a specified group or within a specified context.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69a907cff53c8190b424f088478d3e2c |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.