Triple
T486809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euronext |
E9895
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Euronext Lisbon |
E9895
|
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: Euronext Lisbon | Statement: [Euronext, hasSubsidiary, Euronext Lisbon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Euronext Lisbon Context triple: [Euronext, hasSubsidiary, Euronext Lisbon]
-
A.
Euronext
chosen
Euronext is a pan-European stock exchange group that operates major securities markets across several European countries, including the Netherlands, France, Belgium, and others.
-
B.
Amsterdam Stock Exchange
The Amsterdam Stock Exchange is one of the world’s oldest organized securities markets, historically pivotal in the development of modern finance and global trade.
-
C.
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.
-
D.
Nasdaq Helsinki
Nasdaq Helsinki is Finland’s primary stock exchange, hosting the trading of major Finnish companies and other securities.
-
E.
Santiago Stock Exchange
The Santiago Stock Exchange is Chile’s primary securities market and one of the largest and most important stock exchanges in Latin America.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0bc6f548190b13dee42cb100423 |
completed | Feb. 28, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4c02c26808190b3078fb04f34572c |
completed | March 1, 2026, 10:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.