Triple
T15671819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergen op Zoom railway station |
E377331
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
Bgn
Bgn is the official station code used to identify Bergen op Zoom railway station in the Netherlands.
|
E1169598
|
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: Bgn | Statement: [Bergen op Zoom railway station, hasStationCode, Bgn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bgn Context triple: [Bergen op Zoom railway station, hasStationCode, Bgn]
-
A.
BGN
BGN is the official currency code for the Bulgarian lev, the national currency of Bulgaria.
-
B.
BGN
BGN is the standard abbreviation for the U.S. Board on Geographic Names, the federal body that maintains uniform geographic name usage across the United States government.
-
C.
BGN
BGN is the National Rail station code for Bridgend railway station in South Wales, United Kingdom.
-
D.
B.G.
B.G. is an American rapper from New Orleans, best known as a former member of the Hot Boys and an early standout artist on the Cash Money Records label.
-
E.
BG
BG is the vehicle registration code used for Belgrade, the capital city of Serbia.
- 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: Bgn Triple: [Bergen op Zoom railway station, hasStationCode, Bgn]
Generated description
Bgn is the official station code used to identify Bergen op Zoom railway station in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bgn Target entity description: Bgn is the official station code used to identify Bergen op Zoom railway station in the Netherlands.
-
A.
BGN
BGN is the official currency code for the Bulgarian lev, the national currency of Bulgaria.
-
B.
BGN
BGN is the standard abbreviation for the U.S. Board on Geographic Names, the federal body that maintains uniform geographic name usage across the United States government.
-
C.
BGN
BGN is the National Rail station code for Bridgend railway station in South Wales, United Kingdom.
-
D.
B.G.
B.G. is an American rapper from New Orleans, best known as a former member of the Hot Boys and an early standout artist on the Cash Money Records label.
-
E.
BG
BG is the vehicle registration code used for Belgrade, the capital city of Serbia.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f13b1b08190beabc9f4098aa096 |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67a540a88190b2460ff1d99767ac |
completed | May 9, 2026, 4:58 p.m. |
| NEDg | Description generation | batch_69ff68395718819098571f2c18b2276e |
completed | May 9, 2026, 5 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6897aebc8190a4f2a5e9866a3f74 |
completed | May 9, 2026, 5:02 p.m. |
Created at: April 10, 2026, 4:16 a.m.