Triple
T19335257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giessen district |
E483605
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hungen
Hungen is a small town in the German state of Hesse, known for its historic town center and rural surroundings.
|
E1370346
|
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: Hungen | Statement: [Giessen district, contains, Hungen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hungen Context triple: [Giessen district, contains, Hungen]
-
A.
Hachenburg
Hachenburg is a historic small town in the Westerwald region of Rhineland-Palatinate, Germany, known for its medieval town center and hilltop castle.
-
B.
Haunsheim
Haunsheim is a small municipality in the Bavarian region of southern Germany, known for its rural character and historic village setting.
-
C.
Hœnheim
Hœnheim is a suburban commune in northeastern France, located near Strasbourg in the Bas-Rhin department of the Grand Est region.
-
D.
Hermaringen
Hermaringen is a small municipality in the state of Baden-Württemberg in southern Germany.
-
E.
Reinefarth
Reinefarth is a German surname most notably associated with Heinz Reinefarth, a high-ranking Waffen-SS officer during World War II.
- 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: Hungen Triple: [Giessen district, contains, Hungen]
Generated description
Hungen is a small town in the German state of Hesse, known for its historic town center and rural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hungen Target entity description: Hungen is a small town in the German state of Hesse, known for its historic town center and rural surroundings.
-
A.
Hachenburg
Hachenburg is a historic small town in the Westerwald region of Rhineland-Palatinate, Germany, known for its medieval town center and hilltop castle.
-
B.
Haunsheim
Haunsheim is a small municipality in the Bavarian region of southern Germany, known for its rural character and historic village setting.
-
C.
Hœnheim
Hœnheim is a suburban commune in northeastern France, located near Strasbourg in the Bas-Rhin department of the Grand Est region.
-
D.
Hermaringen
Hermaringen is a small municipality in the state of Baden-Württemberg in southern Germany.
-
E.
Reinefarth
Reinefarth is a German surname most notably associated with Heinz Reinefarth, a high-ranking Waffen-SS officer during World War II.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61644b80c819080f9bca086424a36 |
completed | April 20, 2026, 12:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a071be2c2a08190bb0a00660b09e1c7 |
completed | May 15, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_6a071cdb6ecc81908a00c82b8f80613f |
completed | May 15, 2026, 1:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071d4dd0048190ad7561f76915a72f |
completed | May 15, 2026, 1:19 p.m. |
Created at: April 10, 2026, 1:33 p.m.