Triple
T2951800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BRK.A |
E79836
|
entity |
| Predicate | exchangeMic |
P2798
|
FINISHED |
| Object | XNYS |
E14673
|
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: XNYS | Statement: [BRK.A, exchangeMic, XNYS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XNYS Context triple: [BRK.A, 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.
NYM
NYM is the standard abbreviation used for the New York Mets, a Major League Baseball team based in New York City.
-
C.
NYSP
NYSP is the primary statewide law enforcement agency responsible for policing and public safety across New York State.
-
D.
NYP
NYP is the abbreviation for the New York Philharmonic, one of the oldest and most renowned symphony orchestras in the United States.
-
E.
NYNH&H
NYNH&H was a major railroad company in the northeastern United States that operated extensive passenger and freight services across New York, Connecticut, Rhode Island, and Massachusetts in the late 19th and early 20th centuries.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98fcea5c8190b7d80de942bcb4f7 |
completed | March 8, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc7edc808190863ec8f99efa3875 |
completed | March 11, 2026, 5:24 a.m. |
Created at: March 8, 2026, 2:57 p.m.