Triple
T3525946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drava |
E74537
|
entity |
| Predicate | passesThroughRegion |
P3448
|
FINISHED |
| Object | Styria |
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 | Statement: [Drava, passesThroughRegion, Styria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Styria Context triple: [Drava, passesThroughRegion, Styria]
-
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.
Carinthia
Carinthia is a mountainous federal state in southern Austria known for its Alpine landscapes, lakes, and outdoor tourism.
-
C.
Ostmark
Ostmark was the official currency of the former German Democratic Republic (East Germany) used from its founding in 1949 until reunification in 1990.
-
D.
Burgenland
Burgenland is the easternmost and least populous state of Austria, known for its wine regions, flat landscapes, and proximity to Hungary.
-
E.
Austria
Austria is a landlocked Central European country known for its Alpine landscapes, rich cultural and musical heritage, and status as a prosperous, democratic member of the European Union.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc6a8d0c819094d38b9c47fb67b4 |
completed | March 8, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b432f87bc4819087bb8e441c50a503 |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 8, 2026, 3:19 p.m.