Triple
T7239111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genthin |
E155308
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Fienerode
Fienerode is a small locality that forms part of the town of Genthin in the German state of Saxony-Anhalt.
|
E650800
|
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: Fienerode | Statement: [Genthin, hasSubdivision, Fienerode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fienerode Context triple: [Genthin, hasSubdivision, Fienerode]
-
A.
Rucphen
Rucphen is a municipality in the Dutch province of North Brabant, known for its rural character and proximity to the cities of Roosendaal and Breda.
-
B.
Roderesch
Roderesch is a small village in the municipality of Noordenveld in the province of Drenthe in the northeastern Netherlands.
-
C.
Röthlein
Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
-
D.
Rhenen
Rhenen is a historic town and municipality in the central Netherlands, known for its scenic location along the Rhine and landmarks such as the Cunera Church and Ouwehands Zoo.
-
E.
Rheindahlen
Rheindahlen is a district of Mönchengladbach in western Germany that became well known as a major British military garrison and administrative center during the Cold War.
- 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: Fienerode Triple: [Genthin, hasSubdivision, Fienerode]
Generated description
Fienerode is a small locality that forms part of the town of Genthin in the German state of Saxony-Anhalt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fienerode Target entity description: Fienerode is a small locality that forms part of the town of Genthin in the German state of Saxony-Anhalt.
-
A.
Rucphen
Rucphen is a municipality in the Dutch province of North Brabant, known for its rural character and proximity to the cities of Roosendaal and Breda.
-
B.
Roderesch
Roderesch is a small village in the municipality of Noordenveld in the province of Drenthe in the northeastern Netherlands.
-
C.
Röthlein
Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
-
D.
Rhenen
Rhenen is a historic town and municipality in the central Netherlands, known for its scenic location along the Rhine and landmarks such as the Cunera Church and Ouwehands Zoo.
-
E.
Rheindahlen
Rheindahlen is a district of Mönchengladbach in western Germany that became well known as a major British military garrison and administrative center during the Cold War.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea37fa9081908e9c3abe49d151e5 |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc3d75b48190916bf327396f2666 |
completed | March 28, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_69c7ce24f4148190877852983c9aadb5 |
completed | March 28, 2026, 12:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ce9f73508190a2d1eb35237c3073 |
completed | March 28, 2026, 12:50 p.m. |
Created at: March 27, 2026, 2:55 p.m.