Triple
T18333134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graz-Umgebung District |
E439197
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Stattegg
Stattegg is a municipality in the Austrian state of Styria, located just north of the city of Graz.
|
E1318252
|
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: Stattegg | Statement: [Graz-Umgebung District, contains, Stattegg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stattegg Context triple: [Graz-Umgebung District, contains, Stattegg]
-
A.
Statte
Statte is a small Italian municipality in the Apulia region, known for its proximity to Taranto and its mix of industrial areas and rural landscapes.
-
B.
Staton
Staton is a surname of English origin borne by various notable individuals across politics, sports, and the arts.
-
C.
Sharston
Sharston is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to other districts like Baguley and Wythenshawe.
-
D.
Standen
Standen is an Arts and Crafts country house in West Sussex, England, designed in the late 19th century by architect Philip Webb for the Beale family and now cared for by the National Trust.
-
E.
Stallikon
Stallikon is a municipality in the canton of Zurich in Switzerland, situated in a hilly, forested area near Zurich and known for its rural character and natural landscapes.
- 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: Stattegg Triple: [Graz-Umgebung District, contains, Stattegg]
Generated description
Stattegg is a municipality in the Austrian state of Styria, located just north of the city of Graz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stattegg Target entity description: Stattegg is a municipality in the Austrian state of Styria, located just north of the city of Graz.
-
A.
Statte
Statte is a small Italian municipality in the Apulia region, known for its proximity to Taranto and its mix of industrial areas and rural landscapes.
-
B.
Staton
Staton is a surname of English origin borne by various notable individuals across politics, sports, and the arts.
-
C.
Sharston
Sharston is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to other districts like Baguley and Wythenshawe.
-
D.
Standen
Standen is an Arts and Crafts country house in West Sussex, England, designed in the late 19th century by architect Philip Webb for the Beale family and now cared for by the National Trust.
-
E.
Stallikon
Stallikon is a municipality in the canton of Zurich in Switzerland, situated in a hilly, forested area near Zurich and known for its rural character and natural landscapes.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecbc76c8190a80c0c8c8bce1cbd |
completed | April 19, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03c4d085748190bfd9a7e94f1344a5 |
completed | May 13, 2026, 12:24 a.m. |
| NEDg | Description generation | batch_6a03c570ed348190a7e19eed29b06909 |
completed | May 13, 2026, 12:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c5ec00a88190a93c3be5dd3bc6ee |
completed | May 13, 2026, 12:29 a.m. |
Created at: April 10, 2026, 10:36 a.m.