Triple
T16763364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wesel station |
E407400
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
EWES
EWES is the railway station code used to identify Wesel station in Germany’s rail network.
|
E1231538
|
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: EWES | Statement: [Wesel station, hasStationCode, EWES]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EWES Context triple: [Wesel station, hasStationCode, EWES]
-
A.
Yelle
Yelle is a French electropop band known for its energetic, dance-oriented sound and playful, French-language lyrics.
-
B.
The Fews
The Fews is a historic region in County Armagh, Northern Ireland, traditionally associated with the Gaelic O'Neill dynasty.
-
C.
Skunk Anansie
Skunk Anansie is a British rock band formed in the mid-1990s, known for their powerful fusion of alternative rock, punk, and metal with politically charged lyrics and the distinctive vocals of frontwoman Skin.
-
D.
Swans
Swans is the common short name for the Sydney Swans, a professional Australian rules football club based in Sydney that competes in the Australian Football League (AFL).
-
E.
Swans
Swans is an influential American experimental rock band known for its intense, abrasive soundscapes and evolving, genre-defying compositions.
- 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: EWES Triple: [Wesel station, hasStationCode, EWES]
Generated description
EWES is the railway station code used to identify Wesel station in Germany’s rail network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EWES Target entity description: EWES is the railway station code used to identify Wesel station in Germany’s rail network.
-
A.
Yelle
Yelle is a French electropop band known for its energetic, dance-oriented sound and playful, French-language lyrics.
-
B.
The Fews
The Fews is a historic region in County Armagh, Northern Ireland, traditionally associated with the Gaelic O'Neill dynasty.
-
C.
Skunk Anansie
Skunk Anansie is a British rock band formed in the mid-1990s, known for their powerful fusion of alternative rock, punk, and metal with politically charged lyrics and the distinctive vocals of frontwoman Skin.
-
D.
Swans
Swans is the common short name for the Sydney Swans, a professional Australian rules football club based in Sydney that competes in the Australian Football League (AFL).
-
E.
Swans
Swans is an influential American experimental rock band known for its intense, abrasive soundscapes and evolving, genre-defying compositions.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abee862c819086d9bf01e623a8ce |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52ff9d481909675c7e1f81191dc |
completed | May 10, 2026, 3:33 p.m. |
| NEDg | Description generation | batch_6a00a5f02c388190b3f6fb26798f2393 |
completed | May 10, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a68b92b48190865ddd477a8ba1c6 |
completed | May 10, 2026, 3:38 p.m. |
Created at: April 10, 2026, 5:21 a.m.