Triple
T20499157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | river Eem |
E503254
|
entity |
| Predicate | flowsIntoBodyOfWater |
P3817
|
FINISHED |
| Object | Randmeren |
—
|
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: Randmeren | Statement: [river Eem, flowsIntoBodyOfWater, Randmeren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randmeren Context triple: [river Eem, flowsIntoBodyOfWater, Randmeren]
-
A.
Randmeren
chosen
Randmeren is a chain of shallow border lakes in the central Netherlands that separates the former island of Flevoland from the older mainland provinces.
-
B.
Heenweg
Heenweg is a small village in the Dutch municipality of Westland in the province of South Holland, Netherlands.
-
C.
Heemraadlaan
Heemraadlaan is a metro station in Spijkenisse, Netherlands, serving as part of the Rotterdam Metro network.
-
D.
Renkum
Renkum is a municipality and town in the province of Gelderland in the eastern Netherlands, known for its riverside landscapes and proximity to the city of Arnhem.
-
E.
Twekkelervaart
Twekkelervaart is a canal in the eastern Netherlands that serves as a waterway in and around the city of Almelo.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbff210819089900e9a35911f48 |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.