Triple
T12116832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ezinge |
E288584
|
entity |
| Predicate | hasNearbyWaterBody |
P1489
|
FINISHED |
| Object | Reitdiep |
E259581
|
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: Reitdiep | Statement: [Ezinge, hasNearbyWaterBody, Reitdiep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reitdiep Context triple: [Ezinge, hasNearbyWaterBody, Reitdiep]
-
A.
Reitdiep
chosen
Reitdiep is a historic canalized river in the province of Groningen in the Netherlands, known for its scenic landscapes and colorful waterfront houses near the city of Groningen.
-
B.
Oosterdiep
Oosterdiep is a historic canal in the Dutch province of Groningen, associated with the town of Veendam and its peat and shipping heritage.
-
C.
Winschoterdiep
Winschoterdiep is a major canal in the province of Groningen in the Netherlands, serving as an important waterway for regional transport and drainage.
-
D.
Sappemeer
Sappemeer is a town in the province of Groningen in the northeastern Netherlands, historically known for its peat colonies and waterways.
-
E.
Waterschei
Waterschei is a district of the Belgian city of Genk, historically known for its coal mining activities and associated industrial 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915760d208190b68f5e024b3676ba |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f67f9c30819089305d5d42210c34 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.