Triple
T10672353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KY |
E251520
|
entity |
| Predicate | isDistinctFrom |
P1612
|
FINISHED |
| Object | K.Y. |
unclear NED1
|
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: K.Y. | Statement: [KY, isDistinctFrom, K.Y.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K.Y. Context triple: [KY, isDistinctFrom, K.Y.]
-
A.
KYA
KYA is the IATA airport code for Konya Airport, a public and military airport serving the city of Konya in Turkey.
-
B.
Kwan
Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
-
C.
Kyojin
Kyojin is the popular nickname of the Yomiuri Giants, one of Japan’s most historic and successful professional baseball teams.
-
D.
K.
K. is the enigmatic land surveyor protagonist of Franz Kafka’s novel "The Castle," whose futile attempts to gain access to the mysterious authorities embody themes of alienation and bureaucratic absurdity.
-
E.
Yoo
Yoo is a Korean surname shared by numerous individuals, including notable figures in politics, diplomacy, entertainment, and academia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f8659d40819087a2709bd24261ee |
completed | April 9, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9886e3f108190bb6f17d4e2f394ef |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 9:09 p.m.