Triple
T15984801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aigen im Ennstal Air Base |
E387664
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Enns River |
E230515
|
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: Enns River | Statement: [Aigen im Ennstal Air Base, locatedOnRiver, Enns River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enns River Context triple: [Aigen im Ennstal Air Base, locatedOnRiver, Enns River]
-
A.
Enns
chosen
Enns is a major river in Austria that flows through the Alps and forms part of the border between Upper and Lower Austria before joining the Danube.
-
B.
Steïr River
The Steïr River is a small watercourse in Brittany, France, that flows through the city of Quimper before joining the Odet River.
-
C.
Vienne River
The Vienne River is a major waterway in west-central France that flows through cities such as Limoges before joining the Loire.
-
D.
Traun River
The Traun River is a major tributary of the Danube in Austria, flowing through the Salzkammergut lake district and the state of Upper Austria.
-
E.
Steyr River
The Steyr River is a tributary in Upper Austria that flows through the town of Steyr before joining the Enns River, known for its clear waters and picturesque alpine surroundings.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15757a3548190900de1962308f6b8 |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3cdf7848190848e9081027dc027 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.