Triple
T19846431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limburg-Weilburg |
E476870
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hünfelden
Hünfelden is a municipality in the German state of Hesse, located in the Limburg-Weilburg district.
|
E1399238
|
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: Hünfelden | Statement: [Limburg-Weilburg, contains, Hünfelden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hünfelden Context triple: [Limburg-Weilburg, contains, Hünfelden]
-
A.
Hüttlingen
Hüttlingen is a municipality in the Ostalbkreis district of the state of Baden-Württemberg in southern Germany.
-
B.
Ellhofen
Ellhofen is a small municipality in the German state of Baden-Württemberg, situated in the Heilbronn region and known for its wine-growing landscape.
-
C.
Hellefeld
Hellefeld is a village and district within the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
-
D.
Hallerndorf
Hallerndorf is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and traditional Franconian culture.
-
E.
Theilenhofen
Theilenhofen is a small rural municipality in the Bavarian region of southern Germany.
- 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: Hünfelden Triple: [Limburg-Weilburg, contains, Hünfelden]
Generated description
Hünfelden is a municipality in the German state of Hesse, located in the Limburg-Weilburg district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hünfelden Target entity description: Hünfelden is a municipality in the German state of Hesse, located in the Limburg-Weilburg district.
-
A.
Hüttlingen
Hüttlingen is a municipality in the Ostalbkreis district of the state of Baden-Württemberg in southern Germany.
-
B.
Ellhofen
Ellhofen is a small municipality in the German state of Baden-Württemberg, situated in the Heilbronn region and known for its wine-growing landscape.
-
C.
Hellefeld
Hellefeld is a village and district within the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
-
D.
Hallerndorf
Hallerndorf is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and traditional Franconian culture.
-
E.
Theilenhofen
Theilenhofen is a small rural municipality in the Bavarian region of southern Germany.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65809da2c8190bb579ef42513b74d |
completed | April 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d43cfb388190b48f433c00026617 |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d81e5bc881909b109afa7cf71384 |
completed | May 16, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d91c50648190a2a9f13daad545fd |
completed | May 16, 2026, 2:40 a.m. |
Created at: April 10, 2026, 1:51 p.m.