Triple
T3658044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoommeer |
E77580
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | province of Zeeland |
E13728
|
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: province of Zeeland | Statement: [Zoommeer, locatedIn, province of Zeeland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: province of Zeeland Context triple: [Zoommeer, locatedIn, province of Zeeland]
-
A.
province of Friesland
The province of Friesland is a northern region of the Netherlands known for its distinct Frisian language, lakes and waterways, and strong cultural identity.
-
B.
Zeeland
chosen
Zeeland is a coastal province in the southwest of the Netherlands, known for its islands, peninsulas, and extensive dike and flood defense systems.
-
C.
Zuid-Holland
Zuid-Holland is a densely populated coastal province in the western Netherlands that includes major cities such as Rotterdam and The Hague.
-
D.
Gelderland
Gelderland is a large province in the eastern Netherlands known for its varied landscapes, including the forested Veluwe region and the river areas along the Rhine, Waal, and IJssel.
-
E.
Overijssel
Overijssel is a province in the eastern Netherlands known for its historic Hanseatic cities, rivers, and varied landscapes of forests, heathlands, and farmland.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d48a2081908ac0f76d548a53ee |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d4f458288190ac1d6a8489bbc943 |
completed | March 27, 2026, 7:05 p.m. |
Created at: March 8, 2026, 3:24 p.m.