Triple
T7190808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IJssel |
E167684
|
entity |
| Predicate | mouthLocation |
P417
|
FINISHED |
| Object | IJsselmeer |
E112682
|
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: IJsselmeer | Statement: [IJssel, mouthLocation, IJsselmeer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IJsselmeer Context triple: [IJssel, mouthLocation, IJsselmeer]
-
A.
IJsselmeer
chosen
IJsselmeer is a large shallow freshwater lake in the central Netherlands, created by the closure of the Zuiderzee and known for its dikes, reclaimed polders, and importance to Dutch water management and recreation.
-
B.
Zuidermeer
Zuidermeer is a water area or sub-lake within the Kagerplassen lake district in the Netherlands, known for boating and watersports.
-
C.
Haarlemmermeer
Haarlemmermeer is a municipality in the province of North Holland in the Netherlands, best known for encompassing Amsterdam Airport Schiphol.
-
D.
Oldambtmeer
Oldambtmeer is an artificial lake in the municipality of Oldambt in the province of Groningen, Netherlands, created as part of a large-scale landscape and recreational development project.
-
E.
Alkmaardermeer
Alkmaardermeer is a lake in North Holland, the Netherlands, known for recreational boating, sailing, and waterside leisure activities.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e90087208190a65e49ae0e8a7cbf |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf903f1c819098de137c8c43ca34 |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:50 p.m.