Triple
T10541086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amstetten |
E248695
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Ybbs |
E228796
|
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: Ybbs | Statement: [Amstetten, locatedOnRiver, Ybbs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ybbs Context triple: [Amstetten, locatedOnRiver, Ybbs]
-
A.
Ybbs
chosen
The Ybbs is a river in Austria that flows through the state of Lower Austria and is known for its scenic valley and historical industrial sites.
-
B.
Yastreb
Yastreb was the radio call sign used by Soviet cosmonaut Valery Bykovsky during the Vostok 5 space mission.
-
C.
Oberá
Oberá is a major inland city in northeastern Argentina known for its cultural diversity and role as an agricultural and commercial center in Misiones Province.
-
D.
Bochsa
Bochsa is the surname of Nicolas-Charles Bochsa, a 19th-century French composer, harpist, and influential music teacher.
-
E.
Abava
Abava is a river in western Latvia known for flowing through the scenic Abava Valley before joining the larger Venta River.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a5918648190b16c2d1bc1bf015f |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9341d96c08190a6ba644b9acfe2c8 |
completed | April 10, 2026, 5:32 p.m. |
Created at: April 6, 2026, 12:32 p.m.