Triple
T13173102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Kensington |
E313026
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
STK
STK is the National Rail station code for South Kensington railway station in London, United Kingdom.
|
E1025679
|
NE FINISHED |
How this triple was built (4 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: STK | Statement: [South Kensington, stationCode, STK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STK Context triple: [South Kensington, stationCode, STK]
-
A.
STK
STK is the standard abbreviation used for the Stockton Heat, a former professional ice hockey team that played in the American Hockey League as the Calgary Flames’ affiliate.
-
B.
STK
STK is the common abbreviation used for the St Kilda Football Club, an Australian rules football team in the Australian Football League (AFL).
-
C.
STK
STK is a trendy, high-energy modern steakhouse and lounge known for its stylish atmosphere, DJ-driven music, and upscale dining experience.
-
D.
S Stock
S Stock is a class of electric multiple unit trains used on the London Underground’s sub-surface lines.
-
E.
STO
STO is the station code for Stockel–Stokkel, a metro station in Brussels, Belgium.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: STK Triple: [South Kensington, stationCode, STK]
Generated description
STK is the National Rail station code for South Kensington railway station in London, United Kingdom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: STK Target entity description: STK is the National Rail station code for South Kensington railway station in London, United Kingdom.
-
A.
STK
STK is the standard abbreviation used for the Stockton Heat, a former professional ice hockey team that played in the American Hockey League as the Calgary Flames’ affiliate.
-
B.
STK
STK is the common abbreviation used for the St Kilda Football Club, an Australian rules football team in the Australian Football League (AFL).
-
C.
STK
STK is a trendy, high-energy modern steakhouse and lounge known for its stylish atmosphere, DJ-driven music, and upscale dining experience.
-
D.
S Stock
S Stock is a class of electric multiple unit trains used on the London Underground’s sub-surface lines.
-
E.
STO
STO is the station code for Stockel–Stokkel, a metro station in Brussels, Belgium.
- F. None of above. chosen
Provenance (5 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c2f22b881908a0af3af0a0af971 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eafb81288190a6dcc3bd872998d8 |
completed | May 3, 2026, 6:28 a.m. |
| NEDg | Description generation | batch_69f6f18100148190bdb501b21d37e6af |
completed | May 3, 2026, 6:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f25118508190a35d88cfbdfd77ec |
completed | May 3, 2026, 6:59 a.m. |
Created at: April 9, 2026, 9:14 p.m.