Triple
T20466326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hallwang |
E502057
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object |
Elixhausen
Elixhausen is a small municipality in the Austrian state of Salzburg, known for its rural character and proximity to the city of Salzburg.
|
E1434083
|
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: Elixhausen | Statement: [Hallwang, hasBorderWith, Elixhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elixhausen Context triple: [Hallwang, hasBorderWith, Elixhausen]
-
A.
Essinghausen
Essinghausen is a village and locality that forms part of the town of Peine in Lower Saxony, Germany.
-
B.
Lohfelden
Lohfelden is a German municipality known as a residential and industrial suburb near the city of Kassel in the state of Hesse.
-
C.
Münchholzhausen
Münchholzhausen is a district of the city of Wetzlar in the German state of Hesse.
-
D.
Henschhausen
Henschhausen is a small district or locality that forms part of the town of Bacharach in Rhineland-Palatinate, Germany.
-
E.
Petershausen
Petershausen is a Bavarian municipality in southern Germany, located north of Munich and known for its rural character and good rail connections to the city.
- 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: Elixhausen Triple: [Hallwang, hasBorderWith, Elixhausen]
Generated description
Elixhausen is a small municipality in the Austrian state of Salzburg, known for its rural character and proximity to the city of Salzburg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elixhausen Target entity description: Elixhausen is a small municipality in the Austrian state of Salzburg, known for its rural character and proximity to the city of Salzburg.
-
A.
Essinghausen
Essinghausen is a village and locality that forms part of the town of Peine in Lower Saxony, Germany.
-
B.
Lohfelden
Lohfelden is a German municipality known as a residential and industrial suburb near the city of Kassel in the state of Hesse.
-
C.
Münchholzhausen
Münchholzhausen is a district of the city of Wetzlar in the German state of Hesse.
-
D.
Henschhausen
Henschhausen is a small district or locality that forms part of the town of Bacharach in Rhineland-Palatinate, Germany.
-
E.
Petershausen
Petershausen is a Bavarian municipality in southern Germany, located north of Munich and known for its rural character and good rail connections to the city.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696aa0794819082c9989b1f7e9f37 |
completed | April 20, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0893a9c4f481909575e97991d23ce4 |
completed | May 16, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a0894eb94108190b27743b8743862cb |
completed | May 16, 2026, 4:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08958072d08190a0e4ba12c7e550ea |
completed | May 16, 2026, 4:04 p.m. |
Created at: April 16, 2026, 11:33 a.m.