Triple
T14774035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midden-Groningen |
E347206
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Harkstede
Harkstede is a village in the Dutch province of Groningen, known for its rural character and proximity to the city of Groningen.
|
E1121196
|
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: Harkstede | Statement: [Midden-Groningen, hasSettlement, Harkstede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harkstede Context triple: [Midden-Groningen, hasSettlement, Harkstede]
-
A.
Hollenstedt
Hollenstedt is a municipality in Lower Saxony, Germany, located in the district of Harburg southwest of Hamburg.
-
B.
Halstenbek
Halstenbek is a municipality in the district of Pinneberg in Schleswig-Holstein, northern Germany, known as a residential suburb on the western outskirts of Hamburg.
-
C.
Harvestehude
Harvestehude is an affluent, leafy district in Hamburg, Germany, known for its elegant villas, embassies, and proximity to the Alster lakes.
-
D.
Ochtrup
Ochtrup is a small town in the Münster region of North Rhine-Westphalia in western Germany, known for its textile industry and designer outlet center.
-
E.
Rhauderfehn
Rhauderfehn is a municipality in the East Frisian region of Lower Saxony in northwestern Germany, known for its origins as a peat colony and its characteristic canal landscape.
- 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: Harkstede Triple: [Midden-Groningen, hasSettlement, Harkstede]
Generated description
Harkstede is a village in the Dutch province of Groningen, known for its rural character and proximity to the city of Groningen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harkstede Target entity description: Harkstede is a village in the Dutch province of Groningen, known for its rural character and proximity to the city of Groningen.
-
A.
Hollenstedt
Hollenstedt is a municipality in Lower Saxony, Germany, located in the district of Harburg southwest of Hamburg.
-
B.
Halstenbek
Halstenbek is a municipality in the district of Pinneberg in Schleswig-Holstein, northern Germany, known as a residential suburb on the western outskirts of Hamburg.
-
C.
Harvestehude
Harvestehude is an affluent, leafy district in Hamburg, Germany, known for its elegant villas, embassies, and proximity to the Alster lakes.
-
D.
Ochtrup
Ochtrup is a small town in the Münster region of North Rhine-Westphalia in western Germany, known for its textile industry and designer outlet center.
-
E.
Rhauderfehn
Rhauderfehn is a municipality in the East Frisian region of Lower Saxony in northwestern Germany, known for its origins as a peat colony and its characteristic canal landscape.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81485e08190be35baafcf22b6f2 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b41df881908119e183b8299c48 |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe276bff648190a6be5d25182accd5 |
completed | May 8, 2026, 6:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe27c3fce48190914e2a84b1de527c |
completed | May 8, 2026, 6:13 p.m. |
Created at: April 10, 2026, 1:31 a.m.