Triple
T17816124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergsche Maas |
E444845
|
entity |
| Predicate | outflow |
P967
|
FINISHED |
| Object |
Amer
The Amer is a river in the southern Netherlands that forms part of the Rhine–Meuse–Scheldt delta and is known for flowing through the Biesbosch National Park.
|
E1290144
|
NE FINISHED |
How this triple was built (4 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: Amer | Statement: [Bergsche Maas, outflow, Amer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amer Context triple: [Bergsche Maas, outflow, Amer]
-
A.
Amer
Amer is a common Arabic surname borne by various notable individuals across the Middle East and North Africa.
-
B.
Amer
Amer is a historic town near Jaipur in Rajasthan, India, best known for the hilltop Amer Fort, a major example of Rajput architecture and a UNESCO World Heritage Site.
-
C.
Amery
Amery is an English surname most notably associated with a British political family, including Conservative politician Julian Amery.
-
D.
Ameria
Ameria is an ancient Umbrian town in central Italy, known today as Amelia, with significant archaeological and historical remains from pre-Roman and Roman times.
-
E.
D’Amérique
D’Amérique is a modernist artwork by French avant-garde artist Francis Picabia, reflecting his experimental approach within the Dada and early abstract movements.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Amer Triple: [Bergsche Maas, outflow, Amer]
Generated description
The Amer is a river in the southern Netherlands that forms part of the Rhine–Meuse–Scheldt delta and is known for flowing through the Biesbosch National Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amer Target entity description: The Amer is a river in the southern Netherlands that forms part of the Rhine–Meuse–Scheldt delta and is known for flowing through the Biesbosch National Park.
-
A.
Amer
Amer is a common Arabic surname borne by various notable individuals across the Middle East and North Africa.
-
B.
Amer
Amer is a historic town near Jaipur in Rajasthan, India, best known for the hilltop Amer Fort, a major example of Rajput architecture and a UNESCO World Heritage Site.
-
C.
Amery
Amery is an English surname most notably associated with a British political family, including Conservative politician Julian Amery.
-
D.
Ameria
Ameria is an ancient Umbrian town in central Italy, known today as Amelia, with significant archaeological and historical remains from pre-Roman and Roman times.
-
E.
D’Amérique
D’Amérique is a modernist artwork by French avant-garde artist Francis Picabia, reflecting his experimental approach within the Dada and early abstract movements.
- F. None of above. chosen
Provenance (5 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4887f7d048190b6d813b9f0fab3e7 |
completed | April 19, 2026, 7:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02ff643ca08190a427b7cabfd91dab |
completed | May 12, 2026, 10:22 a.m. |
| NEDg | Description generation | batch_6a0303b3b4c881908960293a5985d8c7 |
completed | May 12, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a030408cebc8190835c005a5f380793 |
completed | May 12, 2026, 10:42 a.m. |
Created at: April 10, 2026, 10:14 a.m.