Triple
T3046007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nijmegen railway station |
E83447
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | ’s‑Hertogenbosch |
E516901
|
NE FINISHED |
How this triple was built (2 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: ’s‑Hertogenbosch | Statement: [Nijmegen railway station, connectsTo, ’s‑Hertogenbosch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ’s‑Hertogenbosch Context triple: [Nijmegen railway station, connectsTo, ’s‑Hertogenbosch]
-
A.
’s-Hertogenbosch
chosen
’s-Hertogenbosch is a historic Dutch city known for its medieval center, Gothic St. John’s Cathedral, and rich cultural heritage in the southern Netherlands.
-
B.
Apeldoorn
Apeldoorn is a city in the province of Gelderland in the Netherlands, known for the royal palace Het Loo and its historical ties to the Dutch monarchy.
-
C.
Nijmegen
Nijmegen is a historic Dutch city near the German border that played a crucial strategic role during World War II, particularly in the Allied advance in 1944.
-
D.
Helmond
Helmond is a city in the southern Netherlands known for its historic castle, industrial heritage, and location near Eindhoven in the province of North Brabant.
-
E.
Venlo
Venlo is a historic city in the southeastern Netherlands, located near the German border on the river Meuse and known as a regional economic and logistics hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9bab541c8190a17aca26b3dcfae7 |
completed | March 8, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9de1848108190a0cb612bcbb4119b |
completed | March 30, 2026, 2:21 a.m. |
Created at: March 8, 2026, 3:01 p.m.