Triple
T10548500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scheemda railway station |
E248882
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Scheemda |
E248882
|
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: Scheemda | Statement: [Scheemda railway station, locatedIn, Scheemda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scheemda Context triple: [Scheemda railway station, locatedIn, Scheemda]
-
A.
Scheemda
chosen
Scheemda is a village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
-
B.
Wessum
Wessum is a village and district within the town of Ahaus in the state of North Rhine-Westphalia, Germany.
-
C.
Eemshaven
Eemshaven is a major seaport and energy hub in the north of the Netherlands, known for its power plants, data centers, and offshore wind connections.
-
D.
Veendam
Veendam is a town and municipality in the province of Groningen in the northeastern Netherlands, historically known for peat extraction and later for its industrial development.
-
E.
De Koog
De Koog is a coastal village and popular seaside resort on the Dutch Wadden Island of Texel, known for its beaches, dunes, and tourism.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d526d305d081909b48d244e1cfa092 |
completed | April 7, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a10f17081909fd9465cf35685a1 |
completed | April 10, 2026, 10:30 p.m. |
Created at: April 6, 2026, 12:33 p.m.