Triple
T16382554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amerongen weir |
E397843
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Driel weir |
E395213
|
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: Driel weir | Statement: [Amerongen weir, connectedTo, Driel weir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Driel weir Context triple: [Amerongen weir, connectedTo, Driel weir]
-
A.
Driel weir
chosen
Driel weir is a key hydraulic structure in the Netherlands that regulates water levels and flow in the Rhine delta to support flood control, navigation, and water management.
-
B.
Amerongen weir
Amerongen weir is a major hydraulic structure on the Nederrijn in the Netherlands that regulates river water levels and flow through a system of floodgates.
-
C.
Wemmershoek Dam
Wemmershoek Dam is a major water reservoir in South Africa’s Western Cape that supplies potable water to the Cape Town metropolitan area and surrounding regions.
-
D.
Daan Dam
Daan Dam is the child of renowned Dutch architect Cees Dam.
-
E.
Baldeneysee dam
The Baldeneysee dam is a water-retaining structure on the Ruhr River in Essen, Germany, that forms and regulates the Baldeneysee reservoir used for recreation, water management, and energy purposes.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319ddcef08190a2081855b5cf6762 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356b00408190beab51a23011be67 |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.