Triple
T13544066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lopik |
E323465
|
entity |
| Predicate | isLocatedNear |
P350
|
FINISHED |
| Object | IJsselstein |
—
|
NE NERFINISHED |
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: IJsselstein | Statement: [Lopik, isLocatedNear, IJsselstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IJsselstein Context triple: [Lopik, isLocatedNear, IJsselstein]
-
A.
IJsselstein
chosen
IJsselstein is a historic Dutch town in the province of Utrecht, known for its medieval city center, castle ruins, and one of the tallest radio masts in the world.
-
B.
Roosendaal
Roosendaal is a city in the southern Netherlands known as a regional center for commerce and transport near the Belgian border.
-
C.
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.
-
D.
Valkenswaard
Valkenswaard is a town in the southern Netherlands known for its strong equestrian culture and international show jumping events.
-
E.
Doetinchem
Doetinchem is a Dutch city in the eastern Netherlands, serving as a regional center in the Achterhoek area with a mix of historic charm and modern amenities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafda36248190acabde65a88c5471 |
completed | April 12, 2026, 2:44 p.m. |
Created at: April 9, 2026, 9:45 p.m.