Triple
T9211912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Machelen |
E221140
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object | Kraainem |
E611290
|
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: Kraainem | Statement: [Machelen, hasNeighbour, Kraainem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kraainem Context triple: [Machelen, hasNeighbour, Kraainem]
-
A.
Kraainem
chosen
Kraainem is a Dutch- and French-speaking suburban municipality on the eastern edge of Brussels in the Flemish Brabant province of Belgium.
-
B.
Kuressaare
Kuressaare is the main town on Estonia’s Saaremaa island, known for its well-preserved medieval castle and seaside spa resort atmosphere.
-
C.
Kõrgessaare
Kõrgessaare is a small settlement on the island of Hiiumaa in western Estonia, known for its coastal location and rural character.
-
D.
Viedma
Viedma is a city in northern Patagonia and one of the oldest settlements in Argentina, serving as the capital of Río Negro Province.
-
E.
Ruhnu
Ruhnu is a small Estonian island in the Gulf of Riga, known for its remote location, traditional wooden lighthouse and church, and unique cultural heritage.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b69838819088f33ca995fce222 |
completed | April 1, 2026, 8:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0660839f88190afdfb8bc2d710fc3 |
completed | April 4, 2026, 1:14 a.m. |
Created at: March 30, 2026, 7:27 p.m.