Triple
T20332300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilzingen |
E492513
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Weiterdingen
Weiterdingen is a village in the municipality of Hilzingen in the district of Konstanz in Baden-Württemberg, Germany.
|
E1424656
|
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: Weiterdingen | Statement: [Hilzingen, hasSubdivision, Weiterdingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weiterdingen Context triple: [Hilzingen, hasSubdivision, Weiterdingen]
-
A.
Ehningen
Ehningen is a small German municipality in the state of Baden-Württemberg, located near Stuttgart and known for its mix of residential areas and technology-oriented businesses.
-
B.
Hildisrieden
Hildisrieden is a municipality in the canton of Lucerne in central Switzerland, known for its rural character and scenic surroundings.
-
C.
Waidberg
Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
-
D.
Weidenau
Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
-
E.
Uttenreuth
Uttenreuth is a small municipality in Bavaria, Germany, situated near the city of Erlangen.
- 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: Weiterdingen Triple: [Hilzingen, hasSubdivision, Weiterdingen]
Generated description
Weiterdingen is a village in the municipality of Hilzingen in the district of Konstanz in Baden-Württemberg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weiterdingen Target entity description: Weiterdingen is a village in the municipality of Hilzingen in the district of Konstanz in Baden-Württemberg, Germany.
-
A.
Ehningen
Ehningen is a small German municipality in the state of Baden-Württemberg, located near Stuttgart and known for its mix of residential areas and technology-oriented businesses.
-
B.
Hildisrieden
Hildisrieden is a municipality in the canton of Lucerne in central Switzerland, known for its rural character and scenic surroundings.
-
C.
Waidberg
Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
-
D.
Weidenau
Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
-
E.
Uttenreuth
Uttenreuth is a small municipality in Bavaria, Germany, situated near the city of Erlangen.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e886a08190952b828fedd2a411 |
completed | April 20, 2026, 7 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a086953ed6c8190bb9a33b2fc2f09e5 |
completed | May 16, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0869e2a80481909105005195330dc9 |
completed | May 16, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086a6ad6c88190be1770758d2e1bbf |
completed | May 16, 2026, 1 p.m. |
Created at: April 16, 2026, 11:22 a.m.