Triple
T7371078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanaal Brussel-Schelde |
E170004
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Zenne River |
E652815
|
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: Zenne River | Statement: [Kanaal Brussel-Schelde, connectsTo, Zenne River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zenne River Context triple: [Kanaal Brussel-Schelde, connectsTo, Zenne River]
-
A.
Zenne River
chosen
The Zenne River is a small Belgian waterway that flows through Brussels and several Flemish towns before joining the Dyle River.
-
B.
Ngadda River
The Ngadda River is a waterway in northeastern Nigeria that flows through the city of Maiduguri and contributes to the region’s drainage into Lake Chad.
-
C.
Sumène River
The Sumène River is a watercourse in south-central France that originates in the Cantal Mountains and flows through the Auvergne region before joining larger river systems.
-
D.
Unzha River
The Unzha River is a significant waterway in central Russia that flows through Kostroma and neighboring regions before joining the Volga River.
-
E.
Tshuapa River
The Tshuapa River is a significant waterway in the Democratic Republic of the Congo that drains the central rainforest region and contributes to the Congo River basin.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f182df5c81908964fbaa3f8ec790 |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6e2cd9cc8190accfefed5eaa0b07 |
completed | April 3, 2026, 7:37 a.m. |
Created at: March 27, 2026, 3:07 p.m.