Triple
T223579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AScX |
E4267
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | AEX Small Cap Index |
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 Small Cap Index | Statement: [AScX, alsoKnownAs, AEX Small Cap Index]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AEX Small Cap Index Context triple: [AScX, alsoKnownAs, AEX Small Cap Index]
-
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.
NYSE Arca
NYSE Arca is an electronic securities exchange in the United States known for trading exchange-traded funds (ETFs) and equities.
-
D.
NASDAQ-100 Index
The NASDAQ-100 Index is a stock market index comprising 100 of the largest non-financial companies listed on the Nasdaq Stock Market, heavily weighted toward the technology sector.
-
E.
NYSE U.S. 100 Index
The NYSE U.S. 100 Index is a stock market index that tracks the performance of 100 leading U.S.-listed companies traded on the New York Stock Exchange.
- 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_69a25c7194fc8190a2d02d446ae3a75e |
completed | Feb. 28, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a358799c04819099e9795809236b31 |
completed | Feb. 28, 2026, 9:04 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.