Triple
T4074874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARCX |
E86739
|
entity |
| Predicate | identifies |
P310
|
FINISHED |
| Object | NYSE Arca |
E16764
|
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: NYSE Arca | Statement: [ARCX, identifies, NYSE Arca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NYSE Arca Context triple: [ARCX, identifies, NYSE Arca]
-
A.
NYSE Arca
chosen
NYSE Arca is an electronic securities exchange in the United States known for trading exchange-traded funds (ETFs) and equities.
-
B.
Xetra
Xetra is an electronic trading system operated by Deutsche Börse that serves as the primary platform for trading German and other European securities.
-
C.
NASDAQ
NASDAQ is a major American electronic stock exchange known for listing many of the world’s leading technology and growth companies.
-
D.
NYSE
The NYSE (New York Stock Exchange) is one of the world’s largest and most influential stock exchanges, where shares of major public companies are bought and sold.
-
E.
Nasdaq INET
Nasdaq INET is Nasdaq’s high-performance electronic trading platform used across several of its exchanges to match and process securities orders.
- 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc25e2e08190b3c048e1b8f85bbf |
completed | March 9, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562bc05948190a9ad709768420588 |
completed | March 14, 2026, 1:29 p.m. |
Created at: March 9, 2026, 3:39 p.m.