Triple
T223589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AScX |
E4267
|
entity |
| Predicate | parentIndexFamily |
P5158
|
FINISHED |
| Object | AEX index family |
E3962
|
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: AEX index family | Statement: [AScX, parentIndexFamily, AEX index family]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AEX index family Context triple: [AScX, parentIndexFamily, AEX index family]
-
A.
AEX index
chosen
The AEX index is a benchmark stock market index that tracks the performance of the largest and most actively traded companies listed on the Amsterdam Stock Exchange.
-
B.
CAC 40
CAC 40 is the benchmark French stock market index, tracking 40 major companies listed on the Euronext Paris exchange.
-
C.
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.
-
D.
NYSE Arca
NYSE Arca is an electronic securities exchange in the United States known for trading exchange-traded funds (ETFs) and equities.
-
E.
Euronext
Euronext is a pan-European stock exchange group that operates major securities markets across several European countries, including the Netherlands, France, Belgium, and others.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a260c3037c8190ba7ddf328f249b74 |
completed | Feb. 28, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a35b636810819085f6c4e658ee578a |
completed | Feb. 28, 2026, 9:17 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.