Triple
T26945835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rába River |
E678638
|
entity |
| Predicate | lengthInAustria |
P161358
|
FINISHED |
| Object | approximately 120 km |
—
|
LITERAL 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: approximately 120 km | Statement: [Rába River, lengthInAustria, approximately 120 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthInAustria Context triple: [Rába River, lengthInAustria, approximately 120 km]
-
A.
lengthInGermany
Indicates the extent or duration of something measured specifically within the geographic or jurisdictional boundaries of Germany.
-
B.
lengthInSlovakia
Indicates the extent or distance of something measured specifically within the territory of Slovakia.
-
C.
lengthInCzechRepublic
Indicates the extent or measurement of something specifically within the geographic boundaries of the Czech Republic.
-
D.
lengthInHungary
Indicates that something has a specified length measured within the context or territory of Hungary.
-
E.
lengthInPoland
Indicates that the specified length measurement is taken within the context or territory of Poland.
- F. None of above. chosen
Provenance (4 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f620858a4081909de8afda69398553 |
completed | May 2, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 27, 2026, 6:21 a.m.