Triple
T8723137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alle River |
E207060
|
entity |
| Predicate | lengthInPoland |
P84276
|
FINISHED |
| Object | approximately 190 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 190 km | Statement: [Alle River, lengthInPoland, approximately 190 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthInPoland Context triple: [Alle River, lengthInPoland, approximately 190 km]
-
A.
distanceToPolishBorder
Indicates the measured distance between a given location and the nearest point on the border of Poland.
-
B.
distanceToPoznań_km
Indicates the physical distance, measured in kilometers, between an entity and the city of Poznań.
-
C.
distanceToWarsaw
Indicates the spatial distance between a given entity’s location and the city of Warsaw.
-
D.
lengthInKm
Indicates that one entity specifies the length or distance of another entity measured in kilometers.
-
E.
distanceToKraków_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Kraków.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d0791208190b043332247372d7b |
completed | March 31, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69cc457093188190959287a6458651c6 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc489dd528819084ed5d88bd8bb3d6 |
completed | March 31, 2026, 10:20 p.m. |
Created at: March 30, 2026, 6:36 p.m.