Triple
T97831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Knicks |
E1971
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | NYK |
E1971
|
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: NYK | Statement: [New York Knicks, abbreviation, NYK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NYK Context triple: [New York Knicks, abbreviation, NYK]
-
A.
NYK
chosen
NYK is the standard abbreviation for the New York Knicks, a professional basketball team based in New York City that competes in the NBA.
-
B.
Osaka Evessa
Osaka Evessa is a professional Japanese basketball team based in Osaka that competes in the B.League.
-
C.
Yokohama
Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
-
D.
Hiryū
Hiryū was a Japanese aircraft carrier of the Imperial Japanese Navy, best known for its crucial role and eventual sinking during the Battle of Midway in World War II.
-
E.
Nagoya
Nagoya is a major industrial and commercial city in central Japan, known as a manufacturing hub and the capital of Aichi Prefecture.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24feef1b08190bb9525f71cce053e |
completed | Feb. 28, 2026, 2:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a284fd52f08190b264937658192e79 |
completed | Feb. 28, 2026, 6:02 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.