Triple
T15702494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aalter railway station |
E380627
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Aalter |
E78498
|
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: Aalter | Statement: [Aalter railway station, locatedIn, Aalter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aalter Context triple: [Aalter railway station, locatedIn, Aalter]
-
A.
Aalter
chosen
Aalter is a municipality in the Belgian province of East Flanders, known for its rural character and location between Ghent and Bruges.
-
B.
Aalten
Aalten is a municipality and town in the province of Gelderland in the eastern Netherlands, near the German border.
-
C.
Alteveer
Alteveer is a small village in the Dutch province of Drenthe, located within the municipality of De Wolden.
-
D.
Raalte
Raalte is a town and municipality in the Dutch province of Overijssel, known for its agricultural surroundings and regional festivals.
-
E.
Eelde
Eelde is a village in the Dutch province of Drenthe, known for its proximity to Groningen Airport Eelde and its historic annual flower parade.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f6e965881909319f85c51c6fb74 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7577a3348190912fad48f7d8599e |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:45 a.m.