Triple
T5153194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grunwald Bridge |
E116245
|
entity |
| Predicate | riverBankLocation |
P39043
|
FINISHED |
| Object | crosses central section of the Oder in Wrocław |
—
|
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: crosses central section of the Oder in Wrocław | Statement: [Grunwald Bridge, riverBankLocation, crosses central section of the Oder in Wrocław]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riverBankLocation Context triple: [Grunwald Bridge, riverBankLocation, crosses central section of the Oder in Wrocław]
-
A.
denominationBranch
Indicates that one religious organization or group is a subordinate branch, division, or subset of a larger religious denomination.
-
B.
hasLandmarkOnBank
Indicates that a landmark is located on the bank (shore or edge) of a geographic feature such as a river, lake, or canal.
-
C.
locatedOnBankOfRiver
chosen
Indicates that one entity is situated along or directly adjacent to the bank of a specified river.
-
D.
riverBankOnOneSide
Indicates that a river flows adjacent to and borders only one side of a specified bank or land area.
-
E.
hasParkAlongBank
Indicates that a park is located adjacent to or running alongside the bank of a water body.
- F. None of above.
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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c1354c81908176703b4853c1a4 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b0fbb88190851e2d7ae1bdcc09 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:44 p.m.