Triple
T6424523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ústí nad Labem |
E128023
|
entity |
| Predicate | distanceToPrague |
P59333
|
FINISHED |
| Object | about 70 km north |
—
|
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: about 70 km north | Statement: [Ústí nad Labem, distanceToPrague, about 70 km north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToPrague Context triple: [Ústí nad Labem, distanceToPrague, about 70 km north]
-
A.
distanceFromPragueKmApprox
chosen
Indicates an approximate distance, measured in kilometers, between a given entity and the city of Prague.
-
B.
distanceToBudapest_km
Indicates the physical distance, measured in kilometers, between a given location and Budapest.
-
C.
distanceToŽilina_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Žilina.
-
D.
directionFromPrague
Indicates the cardinal or relative compass direction in which one entity is located from Prague.
-
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.
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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0691e2e708190a9198cf61f92c6c2 |
completed | March 22, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69c060f780b08190aa650b4d1fc51f21 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:43 p.m.