Triple
T20029466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergstraße district |
E495081
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lindenfels
Lindenfels is a small historic town in the Odenwald region of southern Hesse, Germany, known for its medieval castle and scenic surroundings.
|
E1407815
|
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: Lindenfels | Statement: [Bergstraße district, contains, Lindenfels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lindenfels Context triple: [Bergstraße district, contains, Lindenfels]
-
A.
Lülsfeld
Lülsfeld is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
B.
Wallenfels
Wallenfels is a small town in northern Bavaria, Germany, known for its scenic location in the Franconian Forest region.
-
C.
Birkenfeld
Birkenfeld is a town in western Germany historically associated with the Palatine counts, including Christian I of Birkenfeld-Zweibrücken.
-
D.
Lenzinghausen
Lenzinghausen is a district or locality within the town of Spenge in the German state of North Rhine-Westphalia.
-
E.
Marlenheim
Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
- 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: Lindenfels Triple: [Bergstraße district, contains, Lindenfels]
Generated description
Lindenfels is a small historic town in the Odenwald region of southern Hesse, Germany, known for its medieval castle and scenic surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lindenfels Target entity description: Lindenfels is a small historic town in the Odenwald region of southern Hesse, Germany, known for its medieval castle and scenic surroundings.
-
A.
Lülsfeld
Lülsfeld is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
B.
Wallenfels
Wallenfels is a small town in northern Bavaria, Germany, known for its scenic location in the Franconian Forest region.
-
C.
Birkenfeld
Birkenfeld is a town in western Germany historically associated with the Palatine counts, including Christian I of Birkenfeld-Zweibrücken.
-
D.
Lenzinghausen
Lenzinghausen is a district or locality within the town of Spenge in the German state of North Rhine-Westphalia.
-
E.
Marlenheim
Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662908df081909a6c8ccf0dd90fff |
completed | April 20, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e332c1c8190b72a813d8f078b33 |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080fdd67ac8190ae6e23cab4a5b89e |
completed | May 16, 2026, 6:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0810a84da081908d5e662dccf38208 |
completed | May 16, 2026, 6:37 a.m. |
Created at: April 11, 2026, 3:36 p.m.