Triple
T13748553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SKKN by Kim |
E330279
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | SKKN |
E330279
|
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: SKKN | Statement: [SKKN by Kim, hasAbbreviation, SKKN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKKN Context triple: [SKKN by Kim, hasAbbreviation, SKKN]
-
A.
SKKN by Kim
chosen
SKKN by Kim is a skincare line founded by Kim Kardashian that offers a range of high-end, minimalist beauty products focused on skin health and rejuvenation.
-
B.
KKN
KKN is the National Rail station code assigned to Kirknewton railway station in Scotland.
-
C.
KKNK
KKNK is a major annual Afrikaans-language arts and culture festival held in Oudtshoorn, South Africa, showcasing theatre, music, visual arts, and literature.
-
D.
SKN
SKN is the station code for South Kensington tube station, a major London Underground interchange serving the South Kensington area.
-
E.
SMK
SMK is the commonly used abbreviation for the Office of the Prime Minister of Norway, the central executive body that supports the Norwegian Prime Minister and coordinates government policy.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02132a108190aca728b95e83af01 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a854098c8190983d142c9930962b |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:08 p.m.