Triple
T13222424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Kensington tube station |
E314787
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | SKN |
E314787
|
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: SKN | Statement: [South Kensington tube station, hasAbbreviation, SKN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKN Context triple: [South Kensington tube station, hasAbbreviation, SKN]
-
A.
SKN
chosen
SKN is the station code for South Kensington tube station, a major London Underground interchange serving the South Kensington area.
-
B.
SKO
SKO is the abbreviation for the Saito Kinen Orchestra, a renowned Japanese classical ensemble founded by conductor Seiji Ozawa in honor of his teacher Hideo Saito.
-
C.
SKC
SKC is the commonly used abbreviation for Sporting Kansas City, a professional Major League Soccer club based in Kansas City.
-
D.
SKD
SKD is the abbreviation for the Staatliche Kunstsammlungen Dresden, one of the most renowned museum complexes in Germany, housing extensive art and cultural history collections.
-
E.
SKW
SKW is Poland’s Military Counterintelligence Service, responsible for protecting the armed forces and state defense structures from espionage, terrorism, and other security threats.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf74d708190a61d8ad938653b06 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a3407388190bef886884cb75912 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:19 p.m.