Triple
T18366595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Stock Exchange |
E440062
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | AMEX |
—
|
NE NERFINISHED |
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: AMEX | Statement: [American Stock Exchange, shortName, AMEX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AMEX Context triple: [American Stock Exchange, shortName, AMEX]
-
A.
AMEX
chosen
AMEX is a major U.S. stock exchange known historically for trading small-cap stocks, options, and exchange-traded funds.
-
B.
American Express
American Express is a global financial services company best known for its charge and credit cards, payment network, and travel-related services.
-
C.
American Express Green Card
The American Express Green Card is a travel-focused charge card that earns Membership Rewards points and offers benefits like travel protections and statement credits for frequent travelers.
-
D.
Discover Card
Discover Card is a major U.S. credit card brand known for its cash-back rewards, no annual fees on many cards, and widespread acceptance.
-
E.
Mastercard
Mastercard is a global financial services corporation best known for its widely used credit and debit card payment network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5174e834481909453ba25561d1b1d |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 10:38 a.m.