Triple
T21287760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diepholz district |
E524705
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Martfeld
Martfeld is a small rural municipality in Lower Saxony, Germany, characterized by its agricultural landscape and village-style community.
|
E1476232
|
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: Martfeld | Statement: [Diepholz district, contains, Martfeld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martfeld Context triple: [Diepholz district, contains, Martfeld]
-
A.
Längenfeld
Längenfeld is a Tyrolean municipality in western Austria known for its alpine scenery and thermal spa resort Aqua Dome in the Ötztal valley.
-
B.
Todenfeld
Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Lurnfeld
Lurnfeld is a municipality in the Austrian state of Carinthia, known for its rural landscape and location along the Möll River.
-
D.
Kummerfeld
Kummerfeld is a small municipality in northern Germany, located in the district of Pinneberg in the state of Schleswig-Holstein.
-
E.
Gamsfeld
Gamsfeld is a prominent alpine peak in Austria’s Salzkammergut region, known for its panoramic views and popularity with hikers.
- 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: Martfeld Triple: [Diepholz district, contains, Martfeld]
Generated description
Martfeld is a small rural municipality in Lower Saxony, Germany, characterized by its agricultural landscape and village-style community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martfeld Target entity description: Martfeld is a small rural municipality in Lower Saxony, Germany, characterized by its agricultural landscape and village-style community.
-
A.
Längenfeld
Längenfeld is a Tyrolean municipality in western Austria known for its alpine scenery and thermal spa resort Aqua Dome in the Ötztal valley.
-
B.
Todenfeld
Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Lurnfeld
Lurnfeld is a municipality in the Austrian state of Carinthia, known for its rural landscape and location along the Möll River.
-
D.
Kummerfeld
Kummerfeld is a small municipality in northern Germany, located in the district of Pinneberg in the state of Schleswig-Holstein.
-
E.
Gamsfeld
Gamsfeld is a prominent alpine peak in Austria’s Salzkammergut region, known for its panoramic views and popularity with hikers.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d7c57c8190bc4180ea590a62d4 |
completed | April 21, 2026, 8:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099809b3d88190b78ddeae641a7abf |
completed | May 17, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0998f27c6c81908a88a4a831445d57 |
completed | May 17, 2026, 10:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09996c8d7c81908cc9874f6e1a3fff |
completed | May 17, 2026, 10:33 a.m. |
Created at: April 16, 2026, 4:03 p.m.