Triple
T2192499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eemsdelta |
E49893
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Stedum
Stedum is a small village in the province of Groningen in the Netherlands, known for its historic Romanesque church and rural setting.
|
E242570
|
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: Stedum | Statement: [Eemsdelta, containsSettlement, Stedum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stedum Context triple: [Eemsdelta, containsSettlement, Stedum]
-
A.
Odelsting
The Odelsting was one of the two former chambers of the Norwegian Parliament, historically responsible for initiating and passing most legislation before Norway adopted a unicameral system.
-
B.
Stignano
Stignano is a small town in the Calabria region of southern Italy, known as the birthplace of the early Renaissance humanist Coluccio Salutati.
-
C.
Nattheim
Nattheim is a municipality in the Heidenheim district of Baden-Württemberg in southern Germany.
-
D.
Storo
Storo is a neighborhood and transport hub in Oslo, Norway, known for its major shopping center and connections to tram, metro, and bus lines.
-
E.
Berastagi
Berastagi is a cool highland town in North Sumatra, Indonesia, known for its volcanoes, fruit and flower markets, and scenic views, making it a popular weekend getaway from Medan.
- 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: Stedum Triple: [Eemsdelta, containsSettlement, Stedum]
Generated description
Stedum is a small village in the province of Groningen in the Netherlands, known for its historic Romanesque church and rural setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stedum Target entity description: Stedum is a small village in the province of Groningen in the Netherlands, known for its historic Romanesque church and rural setting.
-
A.
Odelsting
The Odelsting was one of the two former chambers of the Norwegian Parliament, historically responsible for initiating and passing most legislation before Norway adopted a unicameral system.
-
B.
Stignano
Stignano is a small town in the Calabria region of southern Italy, known as the birthplace of the early Renaissance humanist Coluccio Salutati.
-
C.
Nattheim
Nattheim is a municipality in the Heidenheim district of Baden-Württemberg in southern Germany.
-
D.
Storo
Storo is a neighborhood and transport hub in Oslo, Norway, known for its major shopping center and connections to tram, metro, and bus lines.
-
E.
Berastagi
Berastagi is a cool highland town in North Sumatra, Indonesia, known for its volcanoes, fruit and flower markets, and scenic views, making it a popular weekend getaway from Medan.
- 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.