Triple
T21805461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WFC |
E538338
|
entity |
| Predicate | exchangeMic |
P2798
|
FINISHED |
| Object | XNYS |
—
|
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: XNYS | Statement: [WFC, exchangeMic, XNYS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XNYS Context triple: [WFC, exchangeMic, XNYS]
-
A.
XNYS
chosen
XNYS is the ISO 10383 Market Identifier Code (MIC) for the New York Stock Exchange, one of the largest and most influential stock exchanges in the world.
-
B.
N.D.N.Y.
N.D.N.Y. is the standard abbreviation for the United States District Court for the Northern District of New York, a federal trial court within the Second Circuit.
-
C.
NYSA
NYSA is the commonly used abbreviation for the New York State Archives, the official repository for New York State government records and historical documents.
-
D.
NY-LON
NY-LON is a British romantic drama television series that follows a transatlantic relationship between a New York record-store worker and a London stockbroker.
-
E.
NYM
NYM is the standard abbreviation used for the New York Mets, a Major League Baseball team based in New York City.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07802bffc8190b383a2c89de75f74 |
completed | April 28, 2026, 9:04 a.m. |
Created at: April 16, 2026, 6:53 p.m.