Triple
T2192498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eemsdelta |
E49893
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Leermens
Leermens is a small village in the province of Groningen in the northern Netherlands.
|
E242569
|
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: Leermens | Statement: [Eemsdelta, containsSettlement, Leermens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leermens Context triple: [Eemsdelta, containsSettlement, Leermens]
-
A.
Reedus
Reedus is the surname of American actor and model Norman Reedus, best known for his role as Daryl Dixon on the television series "The Walking Dead."
-
B.
Lessi
Lessi is a diminutive or affectionate nickname commonly used for the Italian given name Alessandro.
-
C.
Leer
Leer is a historic town in northwestern Germany known for its maritime heritage and traditional East Frisian culture.
-
D.
Two Youths
"Two Youths" is an early 20th-century painting by Pablo Picasso from his Rose Period, characterized by its warm palette and focus on youthful, introspective figures.
-
E.
Lesse
The Lesse is a scenic river in southern Belgium known for flowing through the Ardennes, its limestone caves, and popular kayaking routes.
- 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: Leermens Triple: [Eemsdelta, containsSettlement, Leermens]
Generated description
Leermens is a small village in the province of Groningen in the northern Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leermens Target entity description: Leermens is a small village in the province of Groningen in the northern Netherlands.
-
A.
Reedus
Reedus is the surname of American actor and model Norman Reedus, best known for his role as Daryl Dixon on the television series "The Walking Dead."
-
B.
Lessi
Lessi is a diminutive or affectionate nickname commonly used for the Italian given name Alessandro.
-
C.
Leer
Leer is a historic town in northwestern Germany known for its maritime heritage and traditional East Frisian culture.
-
D.
Two Youths
"Two Youths" is an early 20th-century painting by Pablo Picasso from his Rose Period, characterized by its warm palette and focus on youthful, introspective figures.
-
E.
Lesse
The Lesse is a scenic river in southern Belgium known for flowing through the Ardennes, its limestone caves, and popular kayaking routes.
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf48ceb48190956df39377df0548 |
completed | March 7, 2026, 6:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5db283cc8190b75870cb2aabc5af |
completed | March 9, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69ae5e7b13108190bc3f4edbff3bdb24 |
completed | March 9, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5edfe80481908c3304c917c9065b |
completed | March 9, 2026, 5:47 a.m. |
Created at: March 4, 2026, 7:46 p.m.