Triple
T11836368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graz Airport |
E281525
|
entity |
| Predicate | servesRegion |
P82
|
FINISHED |
| Object | Styria region |
E195845
|
NE FINISHED |
How this triple was built (2 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: Styria region | Statement: [Graz Airport, servesRegion, Styria region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Styria region Context triple: [Graz Airport, servesRegion, Styria region]
-
A.
Styria
chosen
Styria is a federal state in southeastern Austria known for its capital Graz, diverse landscapes, and strong industrial and educational sectors.
-
B.
Burgenland
Burgenland is the easternmost and least populous state of Austria, known for its wine regions, flat landscapes, and proximity to Hungary.
-
C.
Lower Styria
Lower Styria is a traditional region in northeastern Slovenia known for its historic towns, wine-growing hills, and cultural ties to the broader Styrian area.
-
D.
Carinthia
Carinthia is a mountainous federal state in southern Austria known for its Alpine landscapes, lakes, and outdoor tourism.
-
E.
Upper Styria
Upper Styria is the largely mountainous northern and central part of the Austrian state of Styria, known for its Alpine landscapes, industry, and traditional rural culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62fec0881908c7b89c0b5bcc9a2 |
completed | April 10, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6366adc8190b5c8163af684afde |
completed | May 2, 2026, 1:03 p.m. |
Created at: April 8, 2026, 9:43 p.m.