Triple
T17052732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kampen station |
E413740
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
Kpn
Kpn is the official station code used to identify Kampen railway station in the Netherlands.
|
E1248490
|
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: Kpn | Statement: [Kampen station, hasStationCode, Kpn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kpn Context triple: [Kampen station, hasStationCode, Kpn]
-
A.
KPN
KPN is the abbreviation commonly used for the Korean People's Navy, the maritime branch of North Korea's armed forces.
-
B.
Telkom
Telkom is a major South African telecommunications company that provides fixed-line, mobile, and data services across the country.
-
C.
Telenet Group
Telenet Group is a major Belgian telecommunications and entertainment provider offering services such as broadband internet, television, and mobile telephony.
-
D.
Cablecom
Cablecom was a major Swiss cable television and telecommunications provider that later became known as UPC Switzerland.
-
E.
Sogetel
Sogetel is a film and television production company known for producing European, particularly French-language, cinematic works.
- 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: Kpn Triple: [Kampen station, hasStationCode, Kpn]
Generated description
Kpn is the official station code used to identify Kampen railway station in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kpn Target entity description: Kpn is the official station code used to identify Kampen railway station in the Netherlands.
-
A.
KPN
KPN is the abbreviation commonly used for the Korean People's Navy, the maritime branch of North Korea's armed forces.
-
B.
Telkom
Telkom is a major South African telecommunications company that provides fixed-line, mobile, and data services across the country.
-
C.
Telenet Group
Telenet Group is a major Belgian telecommunications and entertainment provider offering services such as broadband internet, television, and mobile telephony.
-
D.
Cablecom
Cablecom was a major Swiss cable television and telecommunications provider that later became known as UPC Switzerland.
-
E.
Sogetel
Sogetel is a film and television production company known for producing European, particularly French-language, cinematic works.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa3324881908d9e445ba1cfe109 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012343eca0819086a07511c5d22878 |
completed | May 11, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a012585a1548190a112f55e2d84ccac |
completed | May 11, 2026, 12:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0126536c348190b9b2eadb4969f8c2 |
completed | May 11, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:34 a.m.