Triple
T12621023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wakefield Kirkgate railway station |
E301378
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
WKK
WKK is the National Rail station code for Wakefield Kirkgate railway station in West Yorkshire, England.
|
E992556
|
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: WKK | Statement: [Wakefield Kirkgate railway station, stationCode, WKK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WKK Context triple: [Wakefield Kirkgate railway station, stationCode, WKK]
-
A.
WCKD
WCKD is the powerful, morally ambiguous scientific organization in *The Maze Runner* series that conducts brutal experiments on youths in a post-apocalyptic world under the guise of saving humanity.
-
B.
WAKA
"WAKA" is a track from 6ix9ine's 2018 studio album "Dummy Boy," known for its aggressive trap sound and high-energy delivery.
-
C.
WKO
WKO is the Austrian Federal Economic Chamber, the main representative body of Austria’s businesses and employers.
-
D.
WK
WK is the IATA airline designator assigned to Edelweiss Air, a Swiss leisure airline based in Zurich.
-
E.
WKD
WKD is a suburban light rail system serving Warsaw and its surrounding areas, providing commuter connections between the city and nearby towns.
- 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: WKK Triple: [Wakefield Kirkgate railway station, stationCode, WKK]
Generated description
WKK is the National Rail station code for Wakefield Kirkgate railway station in West Yorkshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WKK Target entity description: WKK is the National Rail station code for Wakefield Kirkgate railway station in West Yorkshire, England.
-
A.
WCKD
WCKD is the powerful, morally ambiguous scientific organization in *The Maze Runner* series that conducts brutal experiments on youths in a post-apocalyptic world under the guise of saving humanity.
-
B.
WAKA
"WAKA" is a track from 6ix9ine's 2018 studio album "Dummy Boy," known for its aggressive trap sound and high-energy delivery.
-
C.
WKO
WKO is the Austrian Federal Economic Chamber, the main representative body of Austria’s businesses and employers.
-
D.
WK
WK is the IATA airline designator assigned to Edelweiss Air, a Swiss leisure airline based in Zurich.
-
E.
WKD
WKD is a suburban light rail system serving Warsaw and its surrounding areas, providing commuter connections between the city and nearby towns.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c75c9c819092265ebc2b39f21d |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed6f79881908872c644a9789f04 |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f660294004819089714099a08085f6 |
completed | May 2, 2026, 8:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6613e31fc8190bdb98f91c9e6c967 |
completed | May 2, 2026, 8:40 p.m. |
Created at: April 9, 2026, 5:13 p.m.