Triple
T8338347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Styria |
E195845
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Kapfenberg
Kapfenberg is an industrial town in southeastern Austria known for its steel production and location in the state of Styria.
|
E741527
|
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: Kapfenberg | Statement: [Styria, hasCity, Kapfenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kapfenberg Context triple: [Styria, hasCity, Kapfenberg]
-
A.
Leoben
Leoben is a historic industrial and university city in the Austrian state of Styria, known especially for its steel industry and mining university.
-
B.
Lustenau
Lustenau is a large market town in the Austrian state of Vorarlberg, known for its location on the Rhine near the Swiss border and its strong textile industry heritage.
-
C.
Villach
Villach is a historic city in southern Austria known for its Alpine setting, thermal spas, and role as a regional transport and cultural hub.
-
D.
Klagenfurt
Klagenfurt is the capital city of the Austrian state of Carinthia, known for its historic old town and proximity to Lake Wörthersee.
-
E.
Oberwart
Oberwart is a town in eastern Austria known as a regional center with a significant Hungarian-speaking minority and a mix of industrial, commercial, and cultural activities.
- 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: Kapfenberg Triple: [Styria, hasCity, Kapfenberg]
Generated description
Kapfenberg is an industrial town in southeastern Austria known for its steel production and location in the state of Styria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kapfenberg Target entity description: Kapfenberg is an industrial town in southeastern Austria known for its steel production and location in the state of Styria.
-
A.
Leoben
Leoben is a historic industrial and university city in the Austrian state of Styria, known especially for its steel industry and mining university.
-
B.
Lustenau
Lustenau is a large market town in the Austrian state of Vorarlberg, known for its location on the Rhine near the Swiss border and its strong textile industry heritage.
-
C.
Villach
Villach is a historic city in southern Austria known for its Alpine setting, thermal spas, and role as a regional transport and cultural hub.
-
D.
Klagenfurt
Klagenfurt is the capital city of the Austrian state of Carinthia, known for its historic old town and proximity to Lake Wörthersee.
-
E.
Oberwart
Oberwart is a town in eastern Austria known as a regional center with a significant Hungarian-speaking minority and a mix of industrial, commercial, and cultural activities.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd68e348190a7cb8639a263b50f |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6ccf66d48190a457e0ea869b278e |
completed | April 2, 2026, 1:19 p.m. |
| NEDg | Description generation | batch_69ce6ec1e74081908fc235ffd13ef301 |
completed | April 2, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fe13a00819095f5bec408435426 |
completed | April 2, 2026, 1:32 p.m. |
Created at: March 30, 2026, 5:57 p.m.