Triple
T19118094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaisberg |
E467959
|
entity |
| Predicate | hasNearbyLocality |
P3883
|
FINISHED |
| Object |
Guggenthal
Guggenthal is a small locality near the Gaisberg mountain in the Austrian state of Salzburg.
|
E1359273
|
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: Guggenthal | Statement: [Gaisberg, hasNearbyLocality, Guggenthal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guggenthal Context triple: [Gaisberg, hasNearbyLocality, Guggenthal]
-
A.
Biesenthal
Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
-
B.
Meisenthal
Meisenthal is a village in northeastern France renowned for its historic glassmaking tradition and cultural heritage.
-
C.
Mengerhausen
Mengerhausen is a locality in Germany known primarily as the place where the screenwriter Franz Schulz died.
-
D.
Goppenstein
Goppenstein is a small Swiss village in the canton of Valais, best known as a key railway junction and car shuttle station on the Lötschberg route through the Alps.
-
E.
Pappenheim
Pappenheim is a historic market town in Bavaria, Germany, known for its medieval architecture and its location along the Altmühl River.
- 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: Guggenthal Triple: [Gaisberg, hasNearbyLocality, Guggenthal]
Generated description
Guggenthal is a small locality near the Gaisberg mountain in the Austrian state of Salzburg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guggenthal Target entity description: Guggenthal is a small locality near the Gaisberg mountain in the Austrian state of Salzburg.
-
A.
Biesenthal
Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
-
B.
Meisenthal
Meisenthal is a village in northeastern France renowned for its historic glassmaking tradition and cultural heritage.
-
C.
Mengerhausen
Mengerhausen is a locality in Germany known primarily as the place where the screenwriter Franz Schulz died.
-
D.
Goppenstein
Goppenstein is a small Swiss village in the canton of Valais, best known as a key railway junction and car shuttle station on the Lötschberg route through the Alps.
-
E.
Pappenheim
Pappenheim is a historic market town in Bavaria, Germany, known for its medieval architecture and its location along the Altmühl River.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3c756a88190942930e6ae7242a7 |
completed | April 20, 2026, 8:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05e671f2988190a74d53989124026b |
completed | May 14, 2026, 3:12 p.m. |
| NEDg | Description generation | batch_6a05e9406ba48190a50f4ea6b413e1f4 |
completed | May 14, 2026, 3:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05e9c0d35081909b6ce3c287af5d5f |
completed | May 14, 2026, 3:26 p.m. |
Created at: April 10, 2026, 12:05 p.m.