Triple
T15445598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villach |
E370013
|
entity |
| Predicate | hasMountainNearby |
P10602
|
FINISHED |
| Object |
Gerlitzen
Gerlitzen is a popular mountain and ski area in Carinthia, Austria, known for its panoramic views over the Ossiacher See and the surrounding Alps.
|
E1177366
|
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: Gerlitzen | Statement: [Villach, hasMountainNearby, Gerlitzen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gerlitzen Context triple: [Villach, hasMountainNearby, Gerlitzen]
-
A.
Klemzig
Klemzig is a suburb of Adelaide, South Australia, known as one of the city's earliest German settlements and now a primarily residential area.
-
B.
Dornstadt
Dornstadt is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, located near the city of Ulm.
-
C.
Geisenfeld
Geisenfeld is a small town in Bavaria, Germany, known as the birthplace of prominent early Nazi politician Gregor Strasser.
-
D.
Drensteinfurt
Drensteinfurt is a small town in North Rhine-Westphalia, Germany, known for its historic architecture and location in the Münsterland region.
-
E.
Seiffen
Seiffen is a village in Germany’s Ore Mountains renowned for its traditional wooden toy-making and iconic Christmas decorations.
- 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: Gerlitzen Triple: [Villach, hasMountainNearby, Gerlitzen]
Generated description
Gerlitzen is a popular mountain and ski area in Carinthia, Austria, known for its panoramic views over the Ossiacher See and the surrounding Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gerlitzen Target entity description: Gerlitzen is a popular mountain and ski area in Carinthia, Austria, known for its panoramic views over the Ossiacher See and the surrounding Alps.
-
A.
Klemzig
Klemzig is a suburb of Adelaide, South Australia, known as one of the city's earliest German settlements and now a primarily residential area.
-
B.
Dornstadt
Dornstadt is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, located near the city of Ulm.
-
C.
Geisenfeld
Geisenfeld is a small town in Bavaria, Germany, known as the birthplace of prominent early Nazi politician Gregor Strasser.
-
D.
Drensteinfurt
Drensteinfurt is a small town in North Rhine-Westphalia, Germany, known for its historic architecture and location in the Münsterland region.
-
E.
Seiffen
Seiffen is a village in Germany’s Ore Mountains renowned for its traditional wooden toy-making and iconic Christmas decorations.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef666e08190a02a01a676306ab9 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9085d388819092be2fd8a0268e23 |
completed | May 9, 2026, 7:52 p.m. |
| NEDg | Description generation | batch_69ff914abd3c819094ac8a2f36458ae9 |
completed | May 9, 2026, 7:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff95deed84819095137d75b11fc058 |
completed | May 9, 2026, 8:15 p.m. |
Created at: April 10, 2026, 3:21 a.m.