Triple
T7464356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leer (district) |
E176335
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Moormerland
Moormerland is a municipality in the district of Leer in Lower Saxony, northwestern Germany, known for its rural character and location in the East Frisia region.
|
E667915
|
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: Moormerland | Statement: [Leer (district), hasMunicipality, Moormerland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moormerland Context triple: [Leer (district), hasMunicipality, Moormerland]
-
A.
Svortland
Svortland is the main village and local hub on the island municipality of Bømlo in Vestland county, Norway.
-
B.
Northern Moor
Northern Moor is a suburban residential area in south Manchester, England, known for its local amenities and tram links into the city centre.
-
C.
Heamoor
Heamoor is a village in Cornwall, England, situated just outside the town of Penzance.
-
D.
Kutaisi Lowland
Kutaisi Lowland is a fertile lowland region in western Georgia known for its agricultural significance and location along the middle course of the Rioni River.
-
E.
Whitemere
Whitemere is a natural mere (shallow lake) in Shropshire, England, known as one of the smaller lakes within the Ellesmere meres system.
- 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: Moormerland Triple: [Leer (district), hasMunicipality, Moormerland]
Generated description
Moormerland is a municipality in the district of Leer in Lower Saxony, northwestern Germany, known for its rural character and location in the East Frisia region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moormerland Target entity description: Moormerland is a municipality in the district of Leer in Lower Saxony, northwestern Germany, known for its rural character and location in the East Frisia region.
-
A.
Svortland
Svortland is the main village and local hub on the island municipality of Bømlo in Vestland county, Norway.
-
B.
Northern Moor
Northern Moor is a suburban residential area in south Manchester, England, known for its local amenities and tram links into the city centre.
-
C.
Heamoor
Heamoor is a village in Cornwall, England, situated just outside the town of Penzance.
-
D.
Kutaisi Lowland
Kutaisi Lowland is a fertile lowland region in western Georgia known for its agricultural significance and location along the middle course of the Rioni River.
-
E.
Whitemere
Whitemere is a natural mere (shallow lake) in Shropshire, England, known as one of the smaller lakes within the Ellesmere meres system.
- 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d9d25c819087efc772b5b127fa |
completed | March 27, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c5f1f408190a7d42abe28605ddb |
completed | March 28, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_69c83e08a2fc819086e48d1c4a297f27 |
completed | March 28, 2026, 8:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83e9d599c81908ffb32d884086eeb |
completed | March 28, 2026, 8:48 p.m. |
Created at: March 27, 2026, 3:40 p.m.