Triple
T9123749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ROSN |
E218921
|
entity |
| Predicate | listedOn |
P1278
|
FINISHED |
| Object | Moscow Exchange |
E22536
|
NE 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: Moscow Exchange | Statement: [ROSN, listedOn, Moscow Exchange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moscow Exchange Context triple: [ROSN, listedOn, Moscow Exchange]
-
A.
Moscow Exchange
chosen
Moscow Exchange is Russia’s largest securities and derivatives trading platform, providing markets for equities, bonds, currencies, money market instruments, and commodities.
-
B.
Frankfurt Stock Exchange
The Frankfurt Stock Exchange is one of the world’s largest and most important securities trading centers, serving as Germany’s primary stock market.
-
C.
Belgrade Stock Exchange
The Belgrade Stock Exchange is Serbia’s primary securities exchange, serving as the central marketplace for trading stocks, bonds, and other financial instruments in the country.
-
D.
Bourse de Paris
Bourse de Paris is the historic Parisian stock exchange, long a central hub of French and European financial trading.
-
E.
Mannheim stock exchange
The Mannheim stock exchange was a regional securities market in Mannheim, Germany, historically significant as an early trading venue for industrial companies such as Benz & Cie.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8b5fa188190be6465e74cf26915 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d047c55a988190bf2dd63a0d0a2743 |
completed | April 3, 2026, 11:05 p.m. |
Created at: March 30, 2026, 7:17 p.m.