Triple
T23020549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edam-Volendam |
E573150
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Middelie |
—
|
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: Middelie | Statement: [Edam-Volendam, containsSettlement, Middelie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Middelie Context triple: [Edam-Volendam, containsSettlement, Middelie]
-
A.
Middelie
chosen
Middelie is a small rural village in the Dutch province of North Holland, known for its traditional polder landscape and historic farmhouses.
-
B.
Middelaar
Middelaar is a village in the Dutch province of Limburg, situated near the river Maas and close to the border with Germany.
-
C.
Mitte
Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
-
D.
Mitte
Mitte is the central urban district of Saarbrücken, Germany, encompassing much of the city’s administrative, commercial, and cultural core.
-
E.
Mitte
Mitte is a central urban district of the German city of Koblenz, encompassing key administrative, commercial, and historic areas.
- 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e8324c81908b8868d298af66e1 |
completed | April 29, 2026, 4:07 a.m. |
Created at: April 17, 2026, 3:52 p.m.