Triple
T831791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woking railway station |
E17980
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
WOK
WOK is the National Rail station code for Woking railway station in Surrey, England.
|
E97994
|
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: WOK | Statement: [Woking railway station, hasStationCode, WOK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WOK Context triple: [Woking railway station, hasStationCode, WOK]
-
A.
Okonomiyaki
Okonomiyaki is a savory Japanese pancake made from a batter of flour, cabbage, and various mix-ins, typically grilled and topped with a rich sauce, mayonnaise, and bonito flakes.
-
B.
Morimoto Asia
Morimoto Asia is an upscale Pan-Asian restaurant by Iron Chef Masaharu Morimoto, known for its inventive cuisine and stylish, contemporary setting.
-
C.
Sukki
Sukki is one of the four snowman mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
-
D.
Wagaman
Wagaman is a residential suburb located in the northern suburbs of Darwin in Australia's Northern Territory.
-
E.
Kitchawan
Kitchawan is a small hamlet within the town of Yorktown in Westchester County, New York, known for its residential character and proximity to natural areas.
- 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: WOK Triple: [Woking railway station, hasStationCode, WOK]
Generated description
WOK is the National Rail station code for Woking railway station in Surrey, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WOK Target entity description: WOK is the National Rail station code for Woking railway station in Surrey, England.
-
A.
Okonomiyaki
Okonomiyaki is a savory Japanese pancake made from a batter of flour, cabbage, and various mix-ins, typically grilled and topped with a rich sauce, mayonnaise, and bonito flakes.
-
B.
Morimoto Asia
Morimoto Asia is an upscale Pan-Asian restaurant by Iron Chef Masaharu Morimoto, known for its inventive cuisine and stylish, contemporary setting.
-
C.
Sukki
Sukki is one of the four snowman mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
-
D.
Wagaman
Wagaman is a residential suburb located in the northern suburbs of Darwin in Australia's Northern Territory.
-
E.
Kitchawan
Kitchawan is a small hamlet within the town of Yorktown in Westchester County, New York, known for its residential character and proximity to natural areas.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb4be948190ae757df85bdc40e4 |
completed | March 1, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d9991488190808adb29d3ad6273 |
completed | March 3, 2026, 11:24 p.m. |
| NEDg | Description generation | batch_69a7799f87f08190ad393ce92c938030 |
completed | March 4, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a77a2ef9d08190abc60490b4409d79 |
completed | March 4, 2026, 12:17 a.m. |
Created at: March 1, 2026, 7:38 p.m.